Topic-based Video Analysis

Manual processing of a large volume video data captured through closed-circuit television is challenging due to various reasons. First, manual analysis highly time-consuming. Moreover, as surveillance videos are recorded in dynamic conditions such the presence camera motion, varying illumination, or occlusion, conventional supervised learning may not work always. Thus, computer vision-based automatic scene carried out unsupervised ways. Topic modelling one emerging fields used information processing. text analysis, vision applications, and other areas involving spatio-temporal data. In this article, we discuss scope, variations, applications topic modelling, particularly focusing on analysis. We have provided methodological survey existing models, their features, underlying representations, characterization, visual surveillance’s perspective. Important research papers related been summarized critically analyzed article.