A Review on Object Detection and Tracking in Video

Authors

  • Sarika S. Wangulkar  M.Tech Scholar, Department of Computer Science and Engineering TulsiramjiGaikwad-Patil College of Engineering and Technology Nagpur, Maharashtra, India
  • Roshani Talmale  Department of Computer Science and Engineering Tulsiramji Gaikwad-Patil College of Engineering and Technology Nagpur, Maharashtra, India
  • Rajesh Babu  Department of Computer Science and Engineering Tulsiramji Gaikwad-Patil College of Engineering and Technology Nagpur, Maharashtra, India

Keywords:

Object Detection, Object Classification, Object Tracking, Video Processing

Abstract

In video or an image, object detection and tracking is most popular now a days and use for motion detection of various object. Identify objects in the video sequence and cluster pixels of these object is the first step in object detection. Object classification is the next important step to track the object. The object tracking can be applied in most of the fields that include computerized video surveillance, robotic vision, traffic monitoring, gesture identification, human-computer interaction, military surveillance system, vehicle navigation, medical imaging, biomedical image analysis and many more. The objective of this paper is to present the various steps included in tracking objects in a video sequence, namely object detection, object classification and object tracking. This paper presents various object detection and tracking methods and also the comparison of various techniques used for different stages of tracking.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-03-30

Issue

Volume 6, Issue 2, March-April-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sarika S. Wangulkar, Roshani Talmale, Rajesh Babu, " A Review on Object Detection and Tracking in Video, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 2, pp.01-07, March-April-2019.