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Probability Based Technique for Multi-Object Tracking: A Review

Author(s):

Vandana , Galaxy Global Educational Trust's Group of Institutions, Dinarpur, Ambala, Haryana, India; Tarun Sharma, Galaxy Global Educational Trust's Group of Institutions

Keywords:

Morphological Segmentation Scan, Occlusion

Abstract

The object tracking is the technique in which object is tracked in a series of frames called video. The object can be tracked by various methods. In this paper, many methods that have been reviewed and studied are discussed. On their basis, the technique that is proposed is enhancement in probability distribution algorithm to track multiple objects from the frames of a video which uses morphological segmentation scan, color and texture features, mean shift and probability based technique considering the issues like computational expenses, occlusion, and moving background rejection. The proposed technique will be implemented in MATLAB. The is proposed that this technique works well in terms of track completeness, correct detections, false alarm track, track fragmentation, closeness of track and provide better accuracy.

Other Details

Paper ID: IJSRDV5I70125
Published in: Volume : 5, Issue : 7
Publication Date: 01/10/2017
Page(s): 158-160

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