Corpus ID: 13836645

A Survey on Object Detection and Tracking Methods

@article{Parekh2014ASO,
  title={A Survey on Object Detection and Tracking Methods},
  author={Himani S. Parekh and Darshak G. Thakore and Udesang K. Jaliya},
  journal={International Journal of Innovative Research in Computer and Communication Engineering},
  year={2014},
  volume={2},
  pages={2970-2978}
}
The goal of object tracking is segmenting a region of interest from a video scene and keeping track of its motion, positioning and occlusion.The object detection and object classification are preceding steps for tracking an object in sequence of images. Object detection is performed to check existence of objects in video and to precisely locate that object. Then detected object can be classified in various categories such as humans, vehicles, birds, floating clouds, swaying tree and other… Expand
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References

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Object tracking in video structures is one of the important ongoing exploration areas in the field of computer vision. The aim of object tracking is to find an object of a pre-defined class in aExpand
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TLDR
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In this paper, we propose a new tracking method that uses Gaussian Mixture Model (GMM) and Optical Flow approach for object tracking. The GMM approach consists of three different GaussianExpand
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Recent research in computer vision has increasingly focused on building systems for observing humans and understanding their look, activities, and behavior providing advanced interfaces forExpand
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TLDR
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