Summary: | 碩士 === 國立中央大學 === 資訊工程研究所 === 94 === In this thesis, an intelligent video-based surveillance system for the detection of dangerous situations related to the presence of abandoned objects in unattended or guarded environment is presented. In the proposed system, image processing content-based retrieval capabilities have been added to make the operator inspection task easier. When a potential abandoned object event is detected, the operator is notified and the system provides a keyframe for interpreting the incident.
In addition to tracking a moving person and deciding if he drops an object automatically, the system also detects the presence of abandoned object in a monitored area simultaneously. Depending on the detection of either an abandoned object or someone abandoning an object, different alarms will be signaled. Then, the system finds the relationship between the causes of the alarms. If it is verified that someone has lost the abandoned object, in other words, the owner and abandoned objects are detected, the system will alert the operator and provide him the keyframe, i.e., semantic information of which relating to both of the dangerous object and the person who left it in the surveillance environment.
Experimental results are illustrated in terms of abandoned object detection, owner detection, keyframe detection, the probability of correct detection of abandoned objects as well as examples of abandoned objects event sequences. The results demonstrate that the proposed system is feasible and effective in abandoned object detection.
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