@article{Kahar Priyank J_Rajiv Kumar Gurjwa r_2015, title={AN ACCURACY IMPROVEMENT IN OBJECT DETECTION SYSTEM BASED ON VARIOUS CAMERA CONDITIONS}, volume={2}, url={https://ijaerd.com/index.php/IJAERD/article/view/1137}, abstractNote={<p>Field of Image Processing consists of verity of operations like image recognition, image sharpening, image<br>retrieval, video analysis, video processing and video quality enhancement etc. Video processing mainly concentrated on<br>tracking the object or retrieving the object’s properties from sequence of images, which is called as “frames”. In this<br>report we are going to discuss about different object detection method, their advantages, limitations, assumptions etc.<br>Gaussian mixture model (GMM) is one of those method used for object detection. GMM gives accurate result for<br>detecting objects with assumption of lighting condition, camera condition, video resolution et c. Existing work is also on<br>the basis of this model. So, accuracy of object detection process can be improved by eliminating those assumptions.</p>}, number={5}, journal={International Journal of Advance Engineering and Research Development (IJAERD)}, author={Kahar Priyank J and Rajiv Kumar Gurjwa r}, year={2015}, month={May}, pages={1056–1062} }