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Items where Subject is Field of Research, Information and Computing Sciences, Computer vision and multimedia computation, Computer vision

Journal Article
Williams, S and Fang, H and Relton, SD and Wong, DC and Alam, T and Alty, JE, Accuracy of smartphone video for contactless measurement of hand tremor frequency, Movement Disorders Clinical Practice, 8, (1) pp. 69-75. ISSN 2330-1619 (2021) [Refereed Article] 
Iqbal, MS and Ali, H and Tran, SN and Iqbal, T, Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network, IET Computer Vision, 15, (6) pp. 428-439. ISSN 1751-9632 (2021) [Refereed Article]
Vo, SA and Scanlan, J and Turner, P, An application of Convolutional Neural Network to lobster grading in the southern rock lobster supply chain, Food Control, 113 Article 107184. ISSN 0956-7135 (2020) [Refereed Article] 
Vo, SA and Scanlan, J and Turner, P and Ollington, R, Convolutional Neural Networks for individual identification in the Southern Rock Lobster supply chain, Food Control, 118 Article 107419. ISSN 0956-7135 (2020) [Refereed Article] 
Wei, Y and Tran, S and Xu, S and Kang, B and Springer, M, Deep learning for retail product recognition: challenges and techniques, Computational Intelligence and Neuroscience, 2020 Article ID 8875910. ISSN 1687-5265 (2020) [Refereed Article]
Williams, S and Fang, H and Relton, SD and Graham, CD and Alty, JE, Seeing the unseen: could Eulerian video magnification aid clinician detection of subclinical Parkinson's tremor?, Journal of Clinical Neuroscience, 81 pp. 101-104. ISSN 0967-5868 (2020) [Refereed Article]
Williams, S and Zhao, Z and Hafeez, A and Wong, DC and Relton, SD and Fang, H and Alty, JE, The discerning eye of computer vision: can it measure Parkinson's finger tap bradykinesia?, Journal of The Neurological Sciences, 416 Article 117003. ISSN 0022-510X (2020) [Refereed Article] 
Williams, S and Shepherd, S and Fang, H and Alty, J and O'Gorman, P and Graham, CD, Computer vision of smartphone video has potential to detect functional tremor, Journal of the Neurological Sciences, 401 pp. 27-28. ISSN 0022-510X (2019) [Letter or Note in Journal]
Jeong, S and Kim, T-H and Cho, J, Gait recognition using description of shape synthesized by planar homography, Journal of Supercomputing, 65, (1) pp. 122-135. ISSN 0920-8542 (2013) [Refereed Article] 
Haruni, AMO and Negnevitsky, M, An Artificial Intelligence Approach to Develop a Time-Series Prediction Model of The Arc Furnace Resistance, Journal of Advanced Computational Intelligence, 14, (6) pp. 722-728. ISSN 1343-0130 (2010) [Refereed Article] 
Becker, S and Karri, V, Implementation of Neural Network Models for Parameter Estimation of a PEM-Electrolyzer, Journal of Advanced Computational Intelligence, 14, (6) pp. 735-740. ISSN 1343-0130 (2010) [Refereed Article]
Collings, AD and Williams, RN and Young, NW and Hyland, G, A semi-automated line tracing technique for monitoring ice margins in Antarctic images, International Journal of Remote Sensing, 27, (1-2) pp. 433-448. ISSN 0143-1161 (2006) [Refereed Article] 
Williams, RN and Michael, KJ and Pendelbury, S and Crowther, P, An automated image analysis system for determining sea-ice concentration and cloud cover from AVHRR images of the Antarctic, International Journal of Remote Sensing, 23, (Number 4, 20 February 2002) pp. 611-625. ISSN 0143-1161 (2002) [Refereed Article] 
Conference Publication
Wei, Y and Xu, S and Tran, S and Kang, B, Data augmentation with generative adversarial networks for grocery product image recognition, Proceedings of the 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020, 13-15 December 2020, Virtual Conference, Online (Shenzhen, China), pp. 963-968. ISBN 978-1-7281-7709-0 (2020) [Refereed Conference Paper] 
Park, M and Yang, W and Cao, Z and Kang, B and Connor, D and Lea, M-A, Marine vertebrate predator detection and recognition in underwater videos by region convolutional neural network, Lecture Note in Computer Science: Proceedings of the 16th Pacific Rim Knowledge Acquisition Workshop: Knowledge Management and Acquisition for Intelligent Systems (PKAW 2019), 26-27 August 2019, Cuvu, Fiji ISBN 978-3-030-30638-0 (2019) [Refereed Conference Paper] 
Neugebauer, C and Cameron-Jones, RM and Horton, MP, Learnt Combination in Object Detector Ensembles, Proceedings of Image and Vision Computing New Zealand (IVCNZ) 2010, 8-9 Nov 2010, Queenstown, New Zealand, pp. 1-8. ISBN 978-1-4244-9629-7 (2010) [Refereed Conference Paper] 
Pinkiewicz, TH and Williams, RN and Purser, GJ, Application of the particle filter to tracking of fish in aquaculture research, Proceedings Digital Image Computing: Techniques and Applications , 1-3 December 2008, Canberra, Australia, pp. 457-466. ISBN 978-0-7695-3456-5 (2008) [Refereed Conference Paper] 
Zehmeister, MS and Kim, YS and Kang, BH, An Illumination Identification System for the AIBO Robot, Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering, 26-28 April 2007, Seoul, Korea, pp. 837-842. ISBN 0-7695-2777-9 (2007) [Refereed Conference Paper] 
Horton, MP and Cameron-Jones, RM and Williams, RN, Multiple Classifier Object Detection with Confidence Measures, AI 2007: Advances in Artificial Intelligence 20th Australian Joint Conference on Artificial Intelligence, 2-6 December 2007, Gold Coast , Australia, pp. 559- 568. ISBN 3-540-76926-9 (2007) [Refereed Conference Paper] 
Williams, RN and Lambert, TJ and Kelsall, AF and Pauly, T, Detecting Marine Animals in Underwater Video: Let's Start with Salmon, Proceedings of the 12th Annual Americas Conference on Information Systems, 4-6 August 2006, Acapulco, Guerrero, Mexico, pp. 1482-1490. ISBN 970-31-0621-8 (2006) [Refereed Conference Paper] 
Thesis
Pinkiewicz, TH, Computational Techniques for Automated Tracking and Analysis of Fish Movement in Controlled Aquatic Environments (2012) [PhD] 
Horton, MP, Multiple Multiple Prediction Combination and Confidence Measures for Marine Object Detection (2009) [PhD] 

This list was generated on Sun Oct 24 18:24:46 2021.