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Robust Pedestrian Detection Framework using Harris Corner Detector and Kalman Filter
2017
International Journal of Engineering Research and
Detecting and tracking objects are among the most prevalent and challenging tasks that a surveillance system. Under the business intelligence notion, an object is a human, a queue of people, a crowd. In this paper we introduce the reader to main trends and provide taxonomy of popular methods to give an insight to underlying ideas as well as to show their limitations in the hopes of facilitating integration of object detection and tracking for more effective business oriented video analytics.
doi:10.17577/ijertv6is020125
fatcat:n4cqo6taobcjvot6zdd6d3qthy