[1]
|
Kulchandani, J.S. and Dangarwala, K.J. (2015) Moving Object Detection: Review of Recent Research Trends. 2015 International Conference on Pervasive Computing (ICPC), Pune, 8-10 January 2015.
https://doi.org/10.1109/pervasive.2015.7087138
|
[2]
|
Zhao, J. (2013) The Research of Moving Target Detection Method Based on Three-Frame Difference. Xidian University, Xi’an.
|
[3]
|
Wixson, L. (2000) Detecting Sailient Motion by Accumulating Directionally Consistent Flow. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 774-780. https://doi.org/10.1109/34.868680
|
[4]
|
Radke, R., Andra, S., Al-Kofahi, O., et al. (2005) Image Change Detection Algorithms: A Systematic Survey. IEEE Transactions on Image Processing, 14, 294-307. https://doi.org/10.1109/TIP.2004.838698
|
[5]
|
Zivkovic, Z. (2004) Improved Adaptive Gausian Mixture Model for Background Subtraction. Proceedings of the IEEE International Conference on Pattern Recognition (ICPR’04), 2, 28-31.
|
[6]
|
Chen, C., Chen, X. and Fan, Z. (2012) Detection Algorithm Based on Block Mode and Codebook Model. Journal of China University of Metrology, 23, 125-130.
|
[7]
|
Barnich, O. and Van Droogenbroeck, M. (2009) ViBe: A Powerful Random Technique to Estimate the Background in Video Sequences. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, 19-24 April 2009, 945-948. https://doi.org/10.1109/icassp.2009.4959741
|
[8]
|
莫邵文, 邓新蒲, 王帅, 江丹, 祝周鹏. 基于改进视觉背景提取的运动目标检测算法[J]. 光学学报, 2016(6): 196-205
|
[9]
|
吴尔杰, 杨艳芳, 田中贺, 蒋建国. 一种能快速抑制鬼影及静止目标的ViBe改进算法[J]. 合肥工业大学学报自然科学版, 2016, 39(1): 56-61.
|
[10]
|
任典元, 王文伟, 马强. 基于颜色和局部二值相似模式的背景减除[J]. 计算机科学, 2016, 43(3): 296-300.
|
[11]
|
Van Droogenbroeck, M. and Paquot, O. (2012) Background Subtraction: Experiments and Improvements for ViBe. Proceedings of the IEEE Workshops on Change Detection (CDW’12), Providence, June 2012, 32-37.
https://doi.org/10.1109/cvprw.2012.6238924
|
[12]
|
Goyette, N., Jodoin, P.-M., Porikli, F., Konrad, J. and Ishwar, P. (2012) Changedetection.net: A New Change Detection Benchmark Dataset. IEEE Workshop on Change Detection (CDW-2012) at CVPR-2012, Providence, 16-2 June 2012.
|
[13]
|
Ferryman, J. and Shahrokni, A. (2009) PETS2009: Dataset and Challenge. 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Snowbird, 7-9 December 2009, 1-6.
https://doi.org/10.1109/PETS-WINTER.2009.5399556
|