Aug 05, 2018 · In this post, we will cover how to use OpenCV’s multi-object tracking API implemented using the MultiTracker class. We will share code in both C++ and Python. Before we dive into the details, please check previous posts listed below on Object Tracking to understand the basics of single object trackers implemented in OpenCV.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 High-Speed Tracking with Kernelized Correlation Filters João F. Henriques, Rui Caseiro, Pedro Martins, and Jorge Batista Abstract—The core component of most modern trackers is a discriminative classifier, tasked with distinguishing between the target and the surrounding ... Multiple Object Tracking Based on Faster-RCNN Detector and KCF Tracker Fan Bu, Yingjie Cai, Yi Yang Department of Mechanical Engineering University of Michigan, Ann Arbor, Michigan 48109 Email: [email protected], [email protected], [email protected] Abstract—Tracking and detecting of object is one of the most The KCF algorithm (and the other tracking algorithm) use diverse statistical learning techniques to infer the new position of the tracked object. These techniques operate on matrices, which offer potential for parallelization. However, the KCF algortihm makes use of non-linear operations such as Fourier transform to compute kernels.