Book chapter for Machine Learning for Human Motion Analysis: Theory and Practice

Visual processing of people, including detection, tracking, recognition, and behavior interpretation, is a key component of intelligent video surveillance systems. Computer vision algorithms with the capability of “looking at people” at multiple scales can be applied in different surveillance scenarios, such as far-field people detection for wide-area perimeter protection, midfield people detection for retail/banking applications or parking lot monitoring, and near-field people/face detection for facility security and access. In this chapter, we address the people detection problem in different scales as well as human tracking and motion analysis for real video surveillance applications including people search, retail loss prevention, people counting, and display effectiveness.