AN ACCURACY IMPROVEMENT IN OBJECT DETECTION SYSTEM BASED ON VARIOUS CAMERA CONDITIONS

Authors

  • Kahar Priyank J Department of Computer Science, Parul Institute of Technology, Vadodara, GJ
  • Rajiv Kumar Gurjwa r Department of Computer Science, Parul Institute of Technology, Vadodara, GJ

Keywords:

Gaussian mixture model, object detection, video processing

Abstract

Field of Image Processing consists of verity of operations like image recognition, image sharpening, image
retrieval, video analysis, video processing and video quality enhancement etc. Video processing mainly concentrated on
tracking the object or retrieving the object’s properties from sequence of images, which is called as “frames”. In this
report we are going to discuss about different object detection method, their advantages, limitations, assumptions etc.
Gaussian mixture model (GMM) is one of those method used for object detection. GMM gives accurate result for
detecting objects with assumption of lighting condition, camera condition, video resolution et c. Existing work is also on
the basis of this model. So, accuracy of object detection process can be improved by eliminating those assumptions.

Published

2015-05-25

How to Cite

Kahar Priyank J, & Rajiv Kumar Gurjwa r. (2015). AN ACCURACY IMPROVEMENT IN OBJECT DETECTION SYSTEM BASED ON VARIOUS CAMERA CONDITIONS. International Journal of Advance Engineering and Research Development (IJAERD), 2(5), 1056–1062. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/1137