Publication
C. H. Kuo, P. C. Chang, and S. W. Sun, “Behavior Recognition Using Multiple Depth Cameras Based on a Time-Variant Skeleton Vector Projection,” in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, no. 4, pp. 294-304, Aug. 2017.
H. K. Huang, C. F. Chiu, C. H. Kuo, Y. C. Wu, Narisa N. Y. Chu, and P. C. Chang, “Mixture of Deep CNN-based Ensemble Model for Image Retrieval,” in Proc. of 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE), Kyoto, Japan, Oct. 2016, pp.165-166.
W. Y. Kuo, C. H. Kuo, S. W. Sun, P. C. Chang, Y. T. Chen, and W. H. Cheng, “Machine learning-based behavior recognition system for a basketball player using multiple Kinect cameras, ” in Proc. of 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Seattle, USA, July. 2016, p.1.
S.W. Sun, C.H. Kuo, and P. C. Chang, “People Tracking in an Environment with Multiple Depth Cameras: A Skeleton-Based Pairwise Trajectory Matching Scheme,” Journal of Visual Communication and Image Representation (JVCIR), volume 35, pp. 36-54, February, 2016.
C. H. Kuo; Y. H. Chuo, and P. C. Chang, “Using Deep Convolutional Neural Networks for Image Retrieval,“ in Proc. SPIE Conf. Electronic Imaging 2016, San Francisco, USA, Feb. 2016.
J. T. Fang; C. H. Kuo, C. R. Lai and P. C. Chang, “Fast CU Algorithm and Complexity Control for HEVC,“ in IEEE 4th Global conference on Consumer Electronics, Osaka, Japan, Oct. 2015, pp. 300-301.
C. H. Kuo, S. W. Sun, and P. C. Chang, “A Skeleton-based Pairwise Curve Matching Scheme for People Tracking in a Multi-Camera Environment,” Asia-Pacific Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), Kaohsiung, Taiwan, 2013