Abstract:Surveillance systems become more popular in our daily life because of rapid development of the camera industry. However, it is very difficult to track specific person and active time slots from a mass of long duration surveillance videos. Automatic surveillance video ranking is also desirable in many applications like human activity detection, traffic monitoring, public safety, crime prevention etc. This research work proposed a method to extract an active time slot of a person. An approach is also introduced … Show more
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