460304. Computer vision
| Title | 460304. Computer vision |
|---|---|
| Parent | 4603. Computer vision and multimedia computation |
Latest research outputs
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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
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
Growth recorded automatically and continuously by a machine vision system for finisher pigs
Tscharke, M. J. and Banhazi, T. M.. 2011. "Growth recorded automatically and continuously by a machine vision system for finisher pigs." Banhazi, T., Saunders, C. and Hegarty, R. (ed.) SEAg 2011: Diverse Challenges, Innovative Solutions. Gold Coast, Australia 29 - 30 Sep 2011 Canberra, Australia .Paper
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
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
Image retrieval based on visual information concepts and automatic image annotation
Ly, Quoc Ngoc, Duong, Anh Doc, Duong, Thach Thao and Ngo, Duc Thanh. 2006. "Image retrieval based on visual information concepts and automatic image annotation." Duc, Duong Anh, Dong, Thuy Thi Bich, Ho, Tu-Bao and Nguyen, Dinh Thuc (ed.) 1st International Conference on Theories and Applications of Computer Science (ICTACS 2006). Ho Chi Minh City, Vietnam 03 - 05 Aug 2006 United States. https://doi.org/10.1142/9789812772671_0006Paper
Improved image analysis based system to reliably predict the live weight of pigs on farm: preliminary results
Banhazi, T. M., Tscharke, M., Ferdous, W. M., Saunders, C. and Lee, S. -H.. 2011. "Improved image analysis based system to reliably predict the live weight of pigs on farm: preliminary results ." Australian Journal of Multi-Disciplinary Engineering. 8 (2), pp. 107-119.Article
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
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
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
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
Machine vision and mechatronics in practice
Billingsley, John and Brett, Peter (ed.) 2015. Machine vision and mechatronics in practice. Berlin, Germany. Springer.Edited book
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
Machine vision applications in agriculture
Billingsley, John. 2005. "Machine vision applications in agriculture." Shamsudin, H. M. Amin (ed.) 9th International Conference on Mechatronics Technology. Kuala Lumpur, Malaysia 05 - 07 Dec 2005 Kuala Lumpur, Malaysia.Paper
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)
Machine vision system for counting macadamia nuts
Dunn, Mark and Billingsley, John. 2003. "Machine vision system for counting macadamia nuts." Roberts, Jonathan and Wyeth, Gordon (ed.) 2003 Australasian Conference on Robotics and Automation (ACRA 2003). Brisbane, Australia 01 - 03 Dec 2003 Brisbane, Australia.Paper
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
Machine vision-based weed spot spraying: a review and where next for sugarcane?
McCarthy, Cheryl, Rees, Steven and Baillie, Craig. 2010. "Machine vision-based weed spot spraying: a review and where next for sugarcane?" Bruce, R. C. (ed.) 32nd Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2010). Bundaberg, Australia 11 - 14 May 2010 Australia.Paper
Measuring the density of dingo teeth with machine vision
Billingsley, John and Withers, Kerry. 2004. "Measuring the density of dingo teeth with machine vision." Sensor Review. 24 (4), pp. 361-363. https://doi.org/10.1108/02602280410558386Article
Mechatronics and machine vision 2005
Billingsley, John (ed.) 2005. Mechatronics and machine vision 2005. Hertfordshire, England. Research Studies Press.Edited book
Mechatronics and machine vision in practice
Billingsley, John and Bradbeer, Robin (ed.) 2008. Mechatronics and machine vision in practice . Berlin, Germany. Springer.Edited book
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
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
More machine vision applications in the NCEA
Billingsley, John. 2008. "More machine vision applications in the NCEA." Billingsley, John and Bradbeer, Robin (ed.) Mechatronics and machine vision in practice. Berlin, Germany. Springer. pp. 333-343Edited book (chapter)
More machine vision applications in the NCEA
Billingsley, John. 2006. "More machine vision applications in the NCEA." Billingsley, John (ed.) 13th Annual Conference on Mechatronics and Machine Vision in Practice. (M2VIP 2006). Toowoomba, Australia 05 - 07 Dec 2006 Manila, Philippines.Paper
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
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
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
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
On-the-go machine vision sensing of cotton plant geometric parameters: first results
McCarthy, Cheryl, Hancock, Nigel and Raine, Steven. 2008. "On-the-go machine vision sensing of cotton plant geometric parameters: first results." Billingsley, John and Bradbeer, Robin (ed.) 13th Annual Conference on Mechatronics and Machine Vision in Practice. (M2VIP 2006). Toowoomba, Australia 05 - 07 Dec 2006 Germany. pp. 305-312 https://doi.org/10.1007/978-3-540-74027-8_26Paper
On-the-go machine vision sensing of cotton plant geometric parameters: first results
McCarthy, Cheryl, Hancock, Nigel and Raine, Steven R.. 2006. "On-the-go machine vision sensing of cotton plant geometric parameters: first results." Billingsley, John (ed.) 13th Annual Conference on Mechatronics and Machine Vision in Practice. (M2VIP 2006). Toowoomba, Australia 05 - 07 Dec 2006 Berlin, Heidelberg.Paper
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
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
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
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
Protecting disseminative information in e-learning
Sun, Lili, Wang, Hua and Li, Yan. 2008. "Protecting disseminative information in e-learning." Leung, Howard, Li, Frederick, Lau, Rynson and Li, Qing (ed.) ICWL 2007: 6th International Conference on Web-Based Learning . Edinburgh, United Kingdom 15 - 17 Aug 2007 Germany. Springer. https://doi.org/10.1007/978-3-540-78139-4_49Paper
Recent advances in video-based human action recognition using deep learning: A review
Wu, Di, Sharma, Nabin and Blumenstein, Michael. 2017. "Recent advances in video-based human action recognition using deep learning: A review." 2017 International Joint Conference on Neural Networks (IJCNN). Anchorage, United States 14 - 19 May 2017 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN.2017.7966210Paper
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
Review of methods to determine weight, size and composition of livestock from images
Tscharke, M. and Banhazi, T. M.. 2011. "Review of methods to determine weight, size and composition of livestock from images." Banhazi, T., Saunders, C. and Hegarty, R. (ed.) SEAg 2011: Diverse Challenges, Innovative Solutions. Gold Coast, Australia 29 - 30 Sep 2011 Canberra, Australia .Paper
Robust feature-based automated multi-view human action recognition system
Chou, Kuang-Pen, Prasad, Mukesh, Wu, Di, Sharma, Nabin, Li, Dong-Lin, Lin, Yu-Feng, Blumenstein, Michael, Lin, Wen-Chieh and Lin, Chin-Teng. 2018. "Robust feature-based automated multi-view human action recognition system." IEEE Access. 6, pp. 15283-15296. https://doi.org/10.1109/ACCESS.2018.2809552Article