Proceedings of the Korean Society of Broadcast Engineers Conference (한국방송∙미디어공학회:학술대회논문집)
- 2012.07a
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- Pages.298-301
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- 2012
Graph-based Moving Object Detection and Tracking in an H.264/SVC bitstream domain for Video Surveillance
감시 비디오를 위한 H.264/SVC 비트스트림 영역에서의 그래프 기반 움직임 객체 검출 및 추적
- Sabirin, Houari (Korea Advanced Institute of Science and Technology) ;
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Kim, Munchurl
(Korea Advanced Institute of Science and Technology)
- Published : 2012.07.05
Abstract
This paper presents a graph-based method of detecting and tracking moving objects in H.264/SVC bitstreams for video surveillance applications that makes use the information from spatial base and enhancement layers of the bitstreams. In the base layer, segmentation of real moving objects are first performed using a spatio-temporal graph by removing false detected objects via graph pruning and graph projection, followed by graph matching to precisely identify the real moving objects over time even under occlusion. For the accurate detection and reliable tracking of moving objects in the enhancement layer, as well as saving computational complexity, the identified block groups of the real moving objects in the base layer are then mapped to the enhancement layer to provide accurate and efficient object detection and tracking in the bitstreams of higher resolution. Experimental results show the proposed method can produce reliable results with low computational complexity in both spatial layers of H.264/SVC test bitstreams.
Keywords