An Experimental Comparison of Different Object Tracking Algorithms
NS Raghava, Kushagra Gupta, Ishita Kedia, Anirudh Goyal · 2020
This paper reviews and evaluates several state of the-art object tracking algorithms. It compares the various techniques on different parameters by implementing each one of them as it is important to check their performance and robustness. These algorithms are used to recognize, detect and track objects under the influence of different problems like occluded object, background clutter, illumination variations, and deformed objects or in shadowed regions. The tools used were python and its libraries including but not restricting to OpenCV, matplotlib, Numpy and others.