Review Paper on Object Tracking |
Author(s): |
| Deependra Sharma , JSS Academy of Technical Education, NOIDA; Shafali Jaiswal, JSS Academy of Technical Education, NOIDA; Shailesh Chaurasia, JSS Academy of Technical Education, NOIDA; Vidushi Chaudhary, JSS Academy of Technical Education, NOIDA |
Keywords: |
| Object recognition, object detection, object identification, surveillance, vehicle navigation, autonomous robot navigation, background subtraction, foreground segmentation |
Abstract |
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In object recognition the main steps used are the detection of moving object, its tracking and identification. Object detection and tracking are important and challenging tasks in many computer vision applications such as surveillance, vehicle navigation, and autonomous robot navigation. Detection of moving objects in video streams is the first relevant step of information and background subtraction is a very popular approach for foreground segmentation. It is a challenge to understand the most suitable method of tracking and detection algorithm. There is a variety of object tracking, detection and identification algorithms available along with its publications. This paper proposes a systematic review of these algorithms. |
Other Details |
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Paper ID: IJSRDV3I21023 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 2342-2349 |
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