Real Time Moving Object Detection and Tracking in H264 Compressed Domain for Video Surveillance
نویسنده
چکیده
A real-time moving object detection and tracking algorithm on H.264 compressed video streams for IP video surveillance systems. The goal is to develop algorithms which may be useful in a real-life industrial perspective by facilitating the processing of large numbers of video streams on a single server and to reduce the computational complexity and memory requirements by extraction information directly from coded video stream .The proposed algorithm detects and segments regions having motion based on motion vectors embedded in the video stream without full decoding process and reconstruction of video frames. It includes spatiotemporal filtering. Spatial filtering detect moving object and temporal filtering tracks the object. The algorithm was tested on indoor surveillance H.264 sequences. Keywords-H.264 compressed domain, video surveillance, segmentation and tracking , partial decoding
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