460304. Computer vision
| Title | 460304. Computer vision |
|---|---|
| Parent | 4603. Computer vision and multimedia computation |
Latest research outputs
Sort by Date Title
Effect of Camera Choice on Image-Classification Inference
Brown, Jason, Nguyen, Andy and Raj, Nawin. 2025. "Effect of Camera Choice on Image-Classification Inference." Applied Sciences. 15 (1). https://doi.org/10.3390/app15010246Article
UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning
Jiang, Shui, Ge, Yanning, Yang, Xu, Yang, Wencheng and Cui, Hui. 2024. "UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning." Future Internet. 16 (3). https://doi.org/10.3390/fi16030105Article
Artificial Intelligence: what is it and what does it mean for cotton?
McCarthy, Alison. 2023. "Artificial Intelligence: what is it and what does it mean for cotton?" 2023 Australian Cotton Research Conference. Toowoomba 05 - 07 Sep 2023 Australia.Keynote
Variable-rate irrigation: hardware and software tools for improved infield irrigation
McCarthy, Alison and Foley, Joseph. 2023. "Variable-rate irrigation: hardware and software tools for improved infield irrigation." GRDC Grains Research Update: Irrigation efficiency. 30 - 30 May 2023 Australia.Presentation
Research and industry engagement for Ag tech development
McCarthy, Alison. 2023. "Research and industry engagement for Ag tech development." Scenic Rim Agricultural Workshop. Aratula 22 - 22 Mar 2023 Australia.Presentation
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
Machine vision tools for Smarter Irrigation of dairy pasture and cotton
McCarthy, Alison, Foley, Joseph, Jamali, Hizbullah, Raedts, Pieter and Hills, James. 2022. "Machine vision tools for Smarter Irrigation of dairy pasture and cotton." 2022 Irrigation Australia Conference and Exhibition. Adelaide, Australia 05 - 07 Oct 2022 Australia.Presentation
Smarter Irrigation for Profit 2 RRDP2002 Precise real-time automated cotton and dairy irrigation for improved water productivity
Foley, J., Gillies, M., McCarthy, A., Kelderman, S., Eberhard, J. and Shippam, R.. 2022. Smarter Irrigation for Profit 2 RRDP2002 Precise real-time automated cotton and dairy irrigation for improved water productivity. Narrabri, Australia.. Cotton Research and Development Corporation.Technical report
Infield sensing of cotton insects using automated image analysis of crop symptoms: CSP2203
Heimoana, Simone, Blankley, S. and McCarthy, Alison. 2022. Infield sensing of cotton insects using automated image analysis of crop symptoms: CSP2203. Australia. Cotton Research and Development Corporation.Technical report
Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation
McCarthy, Alison, Nunn, Christopher, Jamali, Hizbullah and Long, Derek. 2022. Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation . Australia. Cotton Research and Development Corporation.Technical report
Cotton health assessment and yield prediction
McCarthy, Alison and Baillie, Craig. 2022. Cotton health assessment and yield prediction. United States. John Deere.Technical report
Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support
Bramley, Rob, Whelan, Brett, Colaco, André, McCarthy, Alison, Richetti, Jonathan, Lawes, Roger, Fajardo, Mario, Bender, Asher, Pothula, Anand, Baillie, Craig, Perry, Eileen, Fitzgerald, Glenn, Clancy, Alex, Leo, Stephen and Grace, Peter. 2022. Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support. Australia. Grains Research and Development Corporation.Technical report
Identifying sensors for better IPM in cotton: NEC1901
McCarthy, Alison, Long, Derek and Grundy, Paul. 2022. Identifying sensors for better IPM in cotton: NEC1901. Australia. Cotton Research and Development Corporation.Technical report
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 (ADSS 2022). Twin Waters, Australia 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
New sensing technologies for citrus gall wasp and Fuller’s rose weevil: CT19009
Long, Derek, McCarthy, Alison and Mo, Jianhua. 2021. New sensing technologies for citrus gall wasp and Fuller’s rose weevil: CT19009. Australia. Hort Innovation Austarlia.Technical report
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.) 2019 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). 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). New York, United States 15 - 17 Mar 2017 Switzerland. https://doi.org/10.1007/978-3-319-64352-6_25Paper
An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition
Wu, Di, Sharma, Nabin and Blumenstein, Michael. 2019. "An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition." 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). Auckland, New Zealand 19 - 21 Nov 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IVCNZ.2018.8634660Paper
Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos
Wu, Di, Sharma, Nabin and Blumenstein, Michael. 2019. "Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos." 2018 Digital Image Computing: Techniques and Applications (DICTA). Canberra, Australia 10 - 13 Dec 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/DICTA.2018.8615804Paper
Adversarial action data augmentation for similar gesture action recognition
Wu, Di, Chen, Junjun, Sharma, Nabin, Pan, Shirui, Long, Guodong and Blumenstein, Michael. 2019. "Adversarial action data augmentation for similar gesture action recognition." 2019 International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary 14 - 19 Jul 2019 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN.2019.8851993Paper