slugA Survey on Techniques used for Detection and Tracking of Video Objects
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 5
Abstract
Segmentation and tracking are two important aspects in visual surveillance systems. Many barriers such as cluttered background, camera movements, and occlusion make the robust detection and tracking a difficult problem, especially in case of multiple moving objects. Object detection in the presence of camera noise and with variable or unfavourable luminance conditions is still an area of active research. In this paper, a survey of various techniques or methods that are used to segment, detect and track objects in the surveillance videos with stationary and complex backgrounds, crowded area, multi-modality background, occluded object, and deformable based objects is provided. For handling complex backgrounds, multi-background registration based segmentation is available. Various techniques used for segmentation based on frame differencing and background modelling are included.
Authors and Affiliations
Sukanyathara J
Keywords
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