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An intelligent suspicious activity detection framework (isadf) for video surveillance systems.
| Content Provider | CiteSeerX |
|---|---|
| Author | Neelima, Dammalapati Jaideep, Gera India, Vijayawada Ap Priyadharsani, Gera Indira |
| Abstract | Video Surveillance systems are playing vital role in ensuring the security at various public places like bus stops, railway stations, shopping malls, Airports etc. Suspicious activity recognition helps to prevent from threats and identify the causes after threat. Existing semi-automatic approaches depends on human intervention to detect the uncommon activities and suspicious behavior from video context. Due to these limitations they become non-intelligence, very slow and need more human observers. In this paper, to overcome these problems an Intelligent Suspicious Activity Detection Framework (ISADF) for Video data is proposed. This framework uses location dependent training data for intelligence and context (foreground) change information for suspicious activity detection. Experimental results show that ISADF is a high speed intelligent threat detection system than existing approaches. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Video Surveillance System Intelligent Suspicious Activity Detection Framework Change Information Human Observer Suspicious Behavior Human Intervention Uncommon Activity Video Data Bus Stop Suspicious Activity Detection Suspicious Activity Recognition Vital Role Semi-automatic Approach Location Dependent Training Data Experimental Result Various Public Place Airport Etc Video Context Railway Station Shopping Mall |
| Content Type | Text |
