Human specific activity retrieval from a surveillance image sequence
Tetsuji Haga, Kiyotaka Watanabe · 2008
We propose an image processing system which searches the moving human and vehicles from the long-term surveillance video for intruder detection or parking lot monitoring, by comparing a series of retrieval queries like passing a certain area, moving direction, duration time and so on. In such a system, not only on-line detection from real-time video by pre-defined query but also quick re-search going back to the past when the user changed the query, and post-retrieval by interactive query change are required. In proposed method, we simplified the image retrieval meta-data to be described in a small and fixed length data however complicated the trajectory of moving object is. Moreover, the matching core function of image retrieval process is realized by a simple comparator. That enables fast image retrieval however complicated the series of the retrieval queries is.