A comparative study of histogram comparison statistics
N.D. Naik, Srinayana Patil, M.A. Joshi · 2009
We propose a scale adaptive tracking method using a hybrid color histogram matching scheme. Firstly, we report an important property of the Chi-squared measure. It outperforms Bhattacharyya measure in the task of histogram matching from similar multimodal histograms. Also, Bhattacharyya measure performs better while selecting matches from a varied dataset. We employ these results to develop a hybrid histogram matching procedure using these two measures. This method is used for a patch matching algorithm in real time tracking. We first calculate a color histogram of the target which is then compared with histograms of patches in the neighborhood in subsequent frames using this hybrid procedure to obtain the best match. We devise a systematic scale adaptive tracking method which is also robust to partial occlusion of the target. Extensive experimental proof is presented which demonstrates the excellent tracking accuracy of the algorithm. (4 pages)