Examining Kalman Filters Applied to Tracking Objects in Motion

Abstract

Kalman filters were used for establishing relations between objects moving in video frames to the real moving objects under analysis. As a result of applying some popular methods of moving objects detection, the objects were represented by rectangles. A two-dimensional colour histogram based on a chromatic space was used for each object in experiments. The objects coupling with adequate regions including the relation of many-to-many was studied experimentally employing Kalman filters. The implemented algorithm provides a part of an advanced audio-video surveillance system for security applications.