Moving object detection and tracking in video sequences
Tian‐Yun Huang · jOURNAL OF southwest University for Nationalities · 2011
Moving object detection and tracking in video sequences plays an important role in many applications such as video analysis,computer vision,reconnaissance,surveillance,etc.This paper gives a brief overview on this topic from the viewpoint of the low level image features.For object detection,structural feature-based approaches,stimuli-driven bottom-up visual attention models based on psychology studies,combined spatial-temporal attention model using temporal cues,DCT coefficients analysis and motion field analysis,etc.,are analyzed.For object tracking,particle filtering,scale invariant feature transform(SIFT),mean shift and their hybrid combinations are emphasized.Since moving object tracking in compressed video stream is still a challenging problem,a novel idea for motion-based object tracking in compressed domain is introduced.