自动化学报2011，Vol.37Issue(12)：1464-1473,10.DOI:10.3724/SP.J.1004.2011.01464
一种改进的JSD距离的空间直方图相似度度量及目标跟踪
An Improved Jensen-Shannon Divergence Based Spatiogram Similarity Measure for Object Tracking
摘要
Abstract
Spatiogram is a generalization of histogram, which can more accurately describe the image (or the object) and has found application in object tracking and image retrieval. Suitable similarity measure is critical. In this paper, we present an improved Jensen-Shannon divergence (JSD) based spatiogram similarity measure. The spatial-color joint probability distribution of the pixels corresponding to each bin is regarded as a weighted Gaussian distribution. Then, the similarity of corresponding bin of two spatiograms is computed by improved Jensen-Shannon divergence with two weighted Gaussian distributions. We make full use of the weight of Gaussian distribution in order to improve the discrimination of the proposed measure. The proposed measure gives superior discriminative power both theoretically and experimentally than the measure proposed by Ulges, and the result of object tracking is more stable and accurate.关键词
空间直方图/JSD距离/粒子滤波/目标跟踪Key words
Spatiogram/Jensen-Shannon divergence (JSD)/particle filter/object tracking引用本文复制引用
姚志均,刘俊涛,赖重远,刘文予..一种改进的JSD距离的空间直方图相似度度量及目标跟踪[J].自动化学报,2011,37(12):1464-1473,10.基金项目
国家自然科学基金(60873127,60903096),河北省自然科学基金(F2009001435)资助 （60873127,60903096）
