TY - GEN
T1 - Real-time moving object segmentation and tracking for H.264/AVC surveillance videos
AU - Dong, Pei
AU - Xia, Yong
AU - Zhuo, Li
AU - Feng, Dagan
PY - 2011
Y1 - 2011
N2 - With increased use of H.264/AVC in various applications including video surveillance systems, feature extraction and knowledge representation in compressed domain are becoming attractive. A real-time H.264/AVC compressed domain moving object segmentation and tracking algorithm for surveillance videos is proposed in this paper. This algorithm consists of moving object detection, bounding box matching, spatiotemporal merge and split reasoning and trajectory smoothing, with major innovation in incorporating the information provided by the prediction modes into the framework of motion detection and trajectory construction. The experimental results on both indoor and outdoor surveillance videos demonstrate that the adaptive use of the information from motion vectors, DCT coefficients and prediction modes can substantially improve the performance of moving object segmentation and tracking.
AB - With increased use of H.264/AVC in various applications including video surveillance systems, feature extraction and knowledge representation in compressed domain are becoming attractive. A real-time H.264/AVC compressed domain moving object segmentation and tracking algorithm for surveillance videos is proposed in this paper. This algorithm consists of moving object detection, bounding box matching, spatiotemporal merge and split reasoning and trajectory smoothing, with major innovation in incorporating the information provided by the prediction modes into the framework of motion detection and trajectory construction. The experimental results on both indoor and outdoor surveillance videos demonstrate that the adaptive use of the information from motion vectors, DCT coefficients and prediction modes can substantially improve the performance of moving object segmentation and tracking.
KW - H.264 compressed domain
KW - prediction mode
KW - segmentation and tracking
KW - video surveillance
UR - https://www.scopus.com/pages/publications/84856289180
U2 - 10.1109/ICIP.2011.6116063
DO - 10.1109/ICIP.2011.6116063
M3 - 会议稿件
AN - SCOPUS:84856289180
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2309
EP - 2312
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -