Model Update Particle Filter for Multiple Objects Detection and Tracking

International Journal of Computational Intelligence Systems

关键词: Color Histogram;    Histogram of Oriented Gradients;    Particle Filter;    Gaussian Mixture Model;   

DOI  :  10.1080/18756891.2012.733235

来源: DOAJ

【 摘 要 】

Multiple objects tracking is a challenging task. This article presents an algorithm which can detect and track multiple objects, and update target model automatically. The contributions of this paper as follow: Firstly,we also use color histogram(CH) and histogram of orientated gradients(HOG) to represent the objects, model update is realized by kalman filter and gaussian model; secondly we use Gaussian Mixture Model(GMM) and Bhattacharyya distance to detect object appearance. Particle filter with combined features and model update mechanism can improve tracking results. Experiments on video sequences demonstrate that the method presented in this paper can realize multiple objects detection and tracking.

【 授权许可】

Unknown