CAMShift is a semi-automatic tracking algorithm, which needs tracking target to be calibrated manually, and can only track one single target at a time. Aiming at these problems, this paper proposes a vehicle tracking approach based on double difference method and CAMShift algorithm. This approach can automatically calibrate moving vehicles in traffic video and achieve multi-target tracking by u...

Data association and track-to-track association, two fundamental problems in single-sensor and multi-sensor multi-target tracking, are instances of an NP-hard combinatorial optimization problem known as the multidimensional assignment problem (MDAP). Over the last few years, data-driven approaches to tackling MDAPs in tracking have become increasingly popular. We argue that viewing multi-target...

Abstract With the continuous development of deep learning in multi-target tracking, use convolutional neural network for feature extraction has replaced traditional method, but accuracy target tracking needs to be improved. In order further improve a new algorithm based on RFB is proposed this paper. The mainly divided into three parts: detection, and tracking. detection part, CenterNet was sel...