Acknowledgement
Supported by : 한국연구재단
References
- 박소령, 노상욱, "다중로봇의 정보융합을 통한 다중표 적의 유형 및 위치 추정," 한국차세대컴퓨팅학회논문지, 제9권, 제1호, 2013년 2월.
- 최재인, 김태영, "특징점 기반 카메라 트래킹을 이용한 손 움직임 보정 기법," 한국차세대컴퓨팅학회논문지, 제11권, 제2호, 2015년 4월.
- 성동수, "CCTV 카메라 공유를 통한 안심 귀가 서비스의 개선," 한국차세대컴퓨팅학회논문지, 제13권, 제1호, 2017년 2월.
- A. Yilmaz, O. Javed and M. Shah, "Object Tracking: A Survey," Acm computing surveys (CSUR), vol. 38, no. 13, Dec. 2006.
- C. Chang, R. Ansari and A. Khokhar, "Multiple Object Tracking with Kernel Particle Filter," presented at the IEEE Conference on Computer Vision and Pattern Recognition, San Diego, USA, 2005.
- S. Weng, C. Kuo and S. Tu, "Video Object Tracking Using Adaptive Kalman Filter," Journal of Visual Communication and Image Representation, vol. 17, no. 6, Dec. 2006, pp. 1190-1208. https://doi.org/10.1016/j.jvcir.2006.03.004
- J. Cho et al., "Moving-Target Tracking Based on Particle Filter with TDOA/FDOA Measurements," ETRI Journal, vol. 34, no. 2, Apr. 2012, pp. 260-263. https://doi.org/10.4218/etrij.12.0211.0218
- M. Yildirimet al., "Direction-Based Modified Particle Filter for Vehicle Tracking," ETRI Journal, vol. 38, no. 2, Apr. 2016, pp. 356-365 https://doi.org/10.4218/etrij.16.0115.0181
- H. Baskoro, J. Kim, and C. Kim, "Mean-Shift Object Tracking with Discrete and Real AdaBoost Techniques," ETRI Journal, vol. 31, no. 3, June. 2009, pp. 282-291. https://doi.org/10.4218/etrij.09.0108.0372
- M. Danelljan et al., "Convolutional Features for Correlation Filter Based Visual Tracking," presented at the IEEE International Conference on Computer Vision Workshops, Boston, USA, 2015.
- S. Kodagoda and S. Sehestedt, "Simultaneous People Tracking and Motion Pattern Learning," Expert Systems with Applications, vol. 41, no. 16, Nov. 2014, pp. 7272-7280. https://doi.org/10.1016/j.eswa.2014.05.019
- R. Eberhart and J. Kennedy, "A New Optimizer Using Particle Swarm Theory," presented at the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, 1995.
- Y. Shi and R. Eberhart, "Empirical Study of Particle Swarm Optimization," presented at the 1999 Congress in Evolutionary Computation, Washington, USA, 1999.
- J. Zhao and Z. Li, "Particle Filter Based On Particle Swarm Optimization Resampling for Vision Tracking," Expert Systems with Applications, vol. 37, no. 12, Dec. 2010, pp. 8910-8914. https://doi.org/10.1016/j.eswa.2010.05.086
- I. Gosciniak, "A New Approach to Particle Swarm Optimization Algorithm," Expert Systems with Applications, vol. 42, no. 2, Feb. 2015, pp. 844-854. https://doi.org/10.1016/j.eswa.2014.07.034
- F. Sha et al., "A Categorized Particle Swarm Optimization for Object Tracking," presented at the 2015 IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 2015.
- F. Sha et al., "A Probability-Dynamic Particle Swarm Optimization for Object Tracking," presented at the 2015 International Joint Conference in Neural Networks, Killarney, Ireland, 2015.
- C. Bae et al., "A New Simplified Swarm Optimization (SSO) Using Exchange Local Search Scheme," International Journal of Innovative Computing, Information and Control, vol. 8, no. 6, June 2012, pp. 4391-4406.
- C. Bae et al., "A Novel Real Time Video Tracking Framework Using Adaptive Discrete Swarm Optimization," Expert Systems with Applications, vol. 64, Dec. 2016, pp. 385-399. https://doi.org/10.1016/j.eswa.2016.08.027
- Y. Wu, J. Lim and M. Yang, "Online Object Tracking: A Benchmark," presented at the IEEE conference on computer vision and pattern recognition, Portland, Oregon, 2013.