Collaborative Multi-camera Surveillance Using Automated Person Detection

Book excerpt: "This thesis aims to build the groundwork for a distributed network of collaborating, intelligent video surveillance cameras. This work is implemented on a system of low-cost embedded-microprocessor-based camera modules. Each camera develops a person detection classifier using the Winnow algorithm for unsupervised, online learning. Training examples are automatically extracted and labelled from the current frame, and the classifier is then applied to the image to detect and locate person instances." --