Research Cell: An International Journal of Engineering Sciences

Sarabjeet Kaur ¹, Seema Baghla ¹, Sunil Kumar ¹

Affiliations
1 Yadavindra College of Engineering, Punjabi Univ., Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, IN

Abstract

Thinning of binary image processing is a fundamental and important technology. Most of the existing image thinning algorithms are based on processing the same picture multiple times, and deleting the edge points layer by layer. For an amount of information in the image, the image thinning processing is relatively slow. To address this problem, an improved thinning algorithm is proposed in this paper. In particular, this algorithm uses the depth of each point to find the deepest points, only considers the deepest points and its neighboring points to determine the point can be deleted. The thinning processing time is decreased, and the skeleton is smooth, clear and continuous.

Keywords

Binary Image, Thinning, Depth of the Edge.

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Mamta Rani ¹, Seema Baghla ¹, Sunil Kumar ¹

Affiliations
1 Yadavindra College of Engineering, Punjabi Univ. Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, IN

Abstract

The object tracking is a technique which is used to track object from the image or from the video, The video consist of multiple frames and in each frame location of that object had been predicted The results of object tracking i.e. trajectory of an object can be either of interest in its own right or can be used as the foundation for higher level analysis. In this paper, methods for object detection, classification and tracking are discussed. In this paper, an overview of techniques to track single as well as multiple objects are discussed.

Keywords

Multiple Object Tracking ,object Classification, Object Detection, Single Object Tracking.

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