Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Face Detection
International Journal of Computer Vision
Robust abandoned object detection using dual foregrounds
EURASIP Journal on Advances in Signal Processing
Real-time foreground-background segmentation using codebook model
Real-Time Imaging
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Recent increased adaptation of security cameras to survey public areas has caused a digital data explosion that human operators have difficulty to keep up with. In order to support future surveillance systems, this paper describes a recognition and tracking system for abandoned objects. The goal is to design and implement a system which will be able to detect abandoned luggage using video sequences. The system uses high level reasoning to infer the existence of abandoned luggage. The proposed approach was implemented using existing image segmentation, blob creation, labelling and tracking algorithms. Our experiments demonstrate the effectiveness of the approach.