Efficient Multiple Objects Detection and Tracking using Particle Filter
Sri Lakshmi Gogulamudi · International Journal of Information Technology Control and Automation · 2012
Efficient multiple objects detection and tracking using particle filter presents a new approach for detection and tracking of multiple objects in video surveillance systems using particle filtering technique and considering environment factors as additional information. Till now all previous methods like kalman filter, mean shift used only object characteristics (orientation, location and scale) for tracking, ignoring environment factors which results in high computational overhead and low tracking accuracy. We take relationship between object and environment factors and model it as environment state using distance transform technique, and integrate it into particle filtering for better tracking accuracy. And also tracking error is minimized greatly by large number of effective particles.