• Anju Chaurasiya
• Wasif Khan

The techniques of object tracking concentrates on tracing the location of an object according to the probability distribution. The probability distribution estimates the location of objects on the based on their location distribution. In the proposed work, an improvement to the probability distribution algorithm is presented with the aim to track a multiple object. The methodology presented applies morphological segmentation and scan the entire object to classify the number of objects in each frame. The probability distribution method is implemented to forecast the location of the object in the subsequent frame. To collect the location of a large number of objects, the mean shift approach is implemented which will collect the information of many pixels. The simulation is done in MATLAB and it is analyzed the proposed algorithm yields better performance in comparison to the standard algorithmic approaches.

Object, Detection, Tracking, Probability, Morphological

"Probability Based Approach for the Object Tracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h518-h526, April-2022, Available :http://www.jetir.org/papers/JETIR2204770.pdf

"Probability Based Approach for the Object Tracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph518-h526, April-2022, Available at : http://www.jetir.org/papers/JETIR2204770.pdf