460304. Computer vision
| Title | 460304. Computer vision |
|---|---|
| Parent | 4603. Computer vision and multimedia computation |
Latest research outputs
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CNN Based Image Classification of Malicious UAVs
Brown, Jason, Gharineiat, Zahra and Raj, Nawin. 2023. "CNN Based Image Classification of Malicious UAVs." Applied Sciences. 13 (1), pp. 1-13. https://doi.org/10.3390/app13010240Article
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper
Potential for machine vision of grain crop features for nitrogen assessment
McCarthy, Alison, Colaco, Andre, Richetti, Jonathan and Baillie, Craig. 2022. "Potential for machine vision of grain crop features for nitrogen assessment." 20th Australian Agronomy Conference (2022). Toowoomba, Australia Toowoomba, Australia.Paper
Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages
Munawar, Hafiz Suliman, Ullah, Fahim, Heravi, Amirhossein, Thaheem, Muhammad Jamaluddin and Maqsoom, Ahsen. 2022. "Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages." Drones. 6 (1), pp. 1-23. https://doi.org/10.3390/drones6010005Article
Moving Objects Segmentation in Video Sequence based on Bayesian network
Duong, Thach-Thao and Duong, Anh-Duc. 2010. "Moving Objects Segmentation in Video Sequence based on Bayesian network." 8th IEEE-RIVF International Conference on Computing and Communication Technologies: Research, Innovation and Vision for the Future (RIVF 2010). Hanoi, Vietnam 01 - 04 Nov 2010 https://doi.org/10.1109/RIVF.2010.5633458Paper
Automated variety trial plot growth and flowering detection for maize and soybean using machine vision
McCarthy, Alison and Raine, Steven. 2022. "Automated variety trial plot growth and flowering detection for maize and soybean using machine vision." Computers and Electronics in Agriculture. 194, pp. 1-21. https://doi.org/10.1016/j.compag.2022.106727Article
Improving pasture growth assessment using machine vision
McCarthy, Alison, Raedts, Pieter, Foley, Joseph and Hills, James. 2022. "Improving pasture growth assessment using machine vision." Australasian Dairy Science Symposium 2022. Twin Waters 30 Nov - 02 Dec 2022Paper
Daylight illumination compensation for in-field camera systems
Moore, Peter L.. 2022. Daylight illumination compensation for in-field camera systems. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/q7q96Masters Thesis
High accuracy smartphone video calibration for human foot surface mapping
Al-Kharaz, Ali A. and Chong, Albert K.. 2018. "High accuracy smartphone video calibration for human foot surface mapping." 2018 3rd IEEE International Conference on Image, Vision and Computing (ICIVC 2018). Chongqing, China 27 - 29 Jun 2018 New York, United States. https://doi.org/10.1109/ICIVC.2018.8492792Paper
Automatic disparity search range estimation in deep learning stereo
Perera, Ruveen. 2021. Automatic disparity search range estimation in deep learning stereo. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/m0vj-5p57PhD Thesis
3D photogrammetric images to evaluate foot morphology and ankle kinematics during gait of Middle Eastern adults
Al-Kharaz, Ali Abdulmunim Ibrahim. 2021. 3D photogrammetric images to evaluate foot morphology and ankle kinematics during gait of Middle Eastern adults. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/6R0V-JM39PhD Thesis
Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. "Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images." IEEE Intelligent Informatics Bulletin. 20 (1), pp. 42-44.Article
Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images
Bargshady, Ghazal. 2020. Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/kjka-n867PhD Thesis
Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates
Al-Shemarry, Meeras Salman and Li, Yan. 2020. "Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates." IEEE Access. 8, pp. 170951-170966. https://doi.org/10.1109/ACCESS.2020.3024625Article
Mechatronics and Machine Vision in Practice 3
Billingsley, John and Brett, Peter (ed.) 2018. Mechatronics and Machine Vision in Practice 3. Switzerland. Springer.Edited book
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805Article
Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/cbeg-yw22PhD Thesis
Pedobarography assessment of hindfoot gender in Middle Eastern adults during gait
Al-Kharaz, Ali A., Chong, Albert and Abbas, Nibras S.. 2020. "Pedobarography assessment of hindfoot gender in Middle Eastern adults during gait." Wysocki, Tadeusz A. and Wysocki, Beata J. (ed.) 13th International Conference on Signal Processing and Communication Systems (ICSPCS 2019). Gold Coast, Australia 16 - 18 Dec 2019 United States. https://doi.org/10.1109/ICSPCS47537.2019.9008466Paper
Analysis of Gender Related Foot Morphology in Iraqi Adults Using Videogrammetry During Gait
Al-Kharaz, Ali A. and Chong, Albert. 2019. "Analysis of Gender Related Foot Morphology in Iraqi Adults Using Videogrammetry During Gait." 9th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2019). Kota Kinabalu, Malaysia 27 - 28 Apr 2019 United States. https://doi.org/10.1109/ISCAIE.2019.8743984Paper
Ensemble neural network approach detecting pain intensity from facial expressions
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "Ensemble neural network approach detecting pain intensity from facial expressions." Artificial Intelligence in Medicine. 109, pp. 1-12. https://doi.org/10.1016/j.artmed.2020.101954Article
Machine vision App for automated cotton insect counting: initial development and first results
Long, Derek, Grundy, Paul and McCarthy, Alison. 2019. "Machine vision App for automated cotton insect counting: initial development and first results." Australian Association of Cotton Scientists 2019 Australian Cotton Research Conference (AACS 2019). Armidale, Australia 28 - 30 Oct 2019Presentation
Visual tools for aiding remote control systems experiments with embedded controllers
Maiti, Ananda, Maxwell, Andrew D. and Kist, Alexander A.. 2019. "Visual tools for aiding remote control systems experiments with embedded controllers." Auer, Michael E. and Langmann, Reinhard (ed.) 15th International Conference on Remote Engineering and Virtual Instrumentation (REV 2018): Smart Industry and Smart Education. Duesseldorf, Germany 21 - 23 Mar 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-319-95678-7_46Paper
Deep learning for real‑time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’
Koirala, A, Walsh, K.B, Wang, Z and McCarthy, C. 2019. "Deep learning for real‑time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’." Precision Agriculture. 20 (6), pp. 1107-1135. https://doi.org/10.1007/s11119-019-09642-0Article
Object detection resource usage within a remote real-time video stream
Smith, Mark, Maiti, Ananda, Maxwell, Andrew D. and Kist, Alexander A.. 2017. "Object detection resource usage within a remote real-time video stream." Auer, Michael E. and Zutin, Danilo G. (ed.) 14th International Conference on Remote Engineering and Virtual Instrumentation (REV 2017): Online Engineering & Internet of Things:. New York, USA 15 - 17 Mar 2017 Switzerland. https://doi.org/10.1007/978-3-319-64352-6_25Paper
Augmented reality and natural user interface applications for remote laboratories
Maiti, Ananda, Smith, Mark, Maxwell, Andrew D. and Kist, Alexander A.. 2018. "Augmented reality and natural user interface applications for remote laboratories." Auer, Michael E., Azad, Abul K. M., Edwards, Aurther and de Jong, Ton (ed.) Cyber-physical laboratories in engineering and science education. Switzerland. Springer. pp. 79-109Edited book (chapter)
Automatic plant features recognition using stereo vision for crop monitoring
Mohammed Amean, Zainab. 2017. Automatic plant features recognition using stereo vision for crop monitoring. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5c09b962f0cc5PhD Thesis
Precision weed detection via colour and depth data fusion in real-time for automatic spot spraying
Rees, Steven. 2015. Precision weed detection via colour and depth data fusion in real-time for automatic spot spraying. PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
Machine vision in agriculture
Billingsley, John. 2011. "Machine vision in agriculture." Glinski, Jan, Horabik, Jozef and Lipiec, Jerzy (ed.) Encyclopedia of Agrophysics. Netherlands. Springer. pp. 433-435Edited book (chapter)
Virtual learning spaces: getting them right for students
Reedy, Natasha, Clark, Terry, Horner, Vicki-Ellen, Lehane, Pat and Rose, Jayln. 2013. "Virtual learning spaces: getting them right for students." 36th Higher Education Research and Development Society of Australasia Conference (HERDSA 2013). Auckland, New Zealand 01 - 04 Jul 2013 Sydney, Australia.Paper
Fuzzy and non-fuzzy approaches for digital image classification
Diykh, Mohammed and Li, Yan. 2016. "Fuzzy and non-fuzzy approaches for digital image classification." Journal of Theoretical and Applied Information Technology. 95 (4), pp. 858-870.Article
Machine vision and mechatronics in practice
Billingsley, John and Brett, Peter (ed.) 2015. Machine vision and mechatronics in practice. Berlin, Germany. Springer.Edited book
A preliminary evaluation of vision and laser sensing for tree trunk detection and orchard mapping
Shalal, Nagham, Low, Tobias, McCarthy, Cheryl and Hancock, Nigel. 2013. "A preliminary evaluation of vision and laser sensing for tree trunk detection and orchard mapping." Katupitiya, Jayantha, Guivant, Jose and Eaton, Ray (ed.) Australasian Conference on Robotics and Automation (ACRA 2013). Sydney, Australia 02 - 04 Dec 2013 Australia.Paper
Automatic plant branch segmentation and classification using vesselness measure
Mohammed Amean, Z., Low, T., McCarthy, C. and Hancock, N.. 2013. "Automatic plant branch segmentation and classification using vesselness measure." Katupitiya, Jayantha, Guivant, Jose and Eaton, Ray (ed.) Australasian Conference on Robotics and Automation (ACRA 2013). Sydney, Australia 02 - 04 Dec 2013 Australia.Paper
An assessment of sugarcane yield monitoring concepts and techniques from commercial yield monitoring systems
Jensen, T. A., Baillie, C., Bramley, R. G. V. and Panitz, J. H.. 2012. "An assessment of sugarcane yield monitoring concepts and techniques from commercial yield monitoring systems." Bruce, R. C. (ed.) 34th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2012). Palm Cove, Australia 01 - 04 May 2012 Mackay, Australia.Paper
Monocular vision, optical blur and visual looming as a basis for mobile robot obstacle avoidance
Brookshaw, Iain J. and Low, Tobias. 2012. "Monocular vision, optical blur and visual looming as a basis for mobile robot obstacle avoidance." Dorantes-Gonzalez, Dante J. (ed.) 16th International Conference on Mechatronics Technology (ICMT 2012): Advanced Mechatronics, Precision Measurement and NanoManufacturing. Tianjin, China 16 - 19 Oct 2012 China.Paper
Preliminary evaluation of shape and colour image sensing for automated weed identification in sugarcane
McCarthy, Cheryl, Rees, Steven and Baillie, Craig. 2012. "Preliminary evaluation of shape and colour image sensing for automated weed identification in sugarcane." Bruce, R. C. (ed.) 34th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2012). Palm Cove, Australia 01 - 04 May 2012 Australia.Paper
The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning
Nawi, Nazmi Mat, Jensen, Troy and Chen, Guangnan. 2012. "The application of spectroscopic methods to predict sugarcane quality based on stalk cross-sectional scanning." American Society of Sugar Cane Technologists Journal. 32, pp. 16-27.Article
Low-cost compact cameras: a medical application in CMT disease monitoring
Chong, Albert K.. 2011. "Low-cost compact cameras: a medical application in CMT disease monitoring." The Photogrammetric Record. 26 (134), pp. 263-273. https://doi.org/10.1111/j.1477-9730.2011.00638.xArticle
Multi-modal summarization of key events and top players in sports tournament videos
Tjondronegoro, Dian, Tao, Xiaohui, Sasongko, Johannes and Lau, Cher Han. 2011. "Multi-modal summarization of key events and top players in sports tournament videos." IEEE Workshop on Applications of Computer Vision (WACV 2011). Kona, United States 05 - 07 Jan 2011 Piscataway, NJ. United States. https://doi.org/10.1109/WACV.2011.5711541Paper
Development and evaluation of a prototype precision spot spray system using image analysis to target guinea grass in sugarcane
Rees, S. J., McCarthy, C. L., Baillie, C. P., Burgos-Artizzu, X. P. and Dunn, M. T.. 2011. "Development and evaluation of a prototype precision spot spray system using image analysis to target guinea grass in sugarcane." Australian Journal of Multi-Disciplinary Engineering. 8 (2), pp. 97-106.Article