This work introduces a multi-camera tracking dataset consisting of 234 hours of video data
recorded concurrently from 234 overlapping HD cameras covering a 4.2 mile stretch of 8-10 …

Vehicle tracking across multiple cameras can be difficult for modern tracking systems. Given
unlikely candidates and faulty similarity estimation, data association struggles at city-scale …

With the demands of analyzing and predicting traffic flow for applications in smart cities, Multi-
Target Multi-Camera vehicle Tracking (MTMCT) at the city scale has become a fundamental …

With the demands of the intelligent city and city-scale traffic management, city-scale multi-
camera vehicle tracking (MCVT) has become a vital problem. The MCVT is challenging due …

Abstract Multi-Target Multi-Camera tracking is a fundamental task for intelligent traffic
systems. The track 1 of AI City Challenge 2022 aims at the city-scale multi-camera vehicle …

In this work, we address the problem of multi-vehicle detection and tracking for traffic
monitoring applications. We preset a novel intelligent visual sensor for tracking-by-detection …

Abstract Multi-Camera Multi-Vehicle Tracking (MCMVT) is an essential task in the field of city-
scale traffic management, which usually consists of three sub-tasks: object detection and re …

Most video analytics applications rely on object detectors to localize objects in frames.
However, when real-time is a requirement, running the detector at all the frames is usually …

Due to the exponential growth of traffic camera networks, the need for multi-camera tracking
(MCT) for intelligent transportation has received more and more attention. The challenges of …

This paper focuses on the Multi-Target Multi-Camera Tracking (MTMCT) task in a city-scale
multi-camera network. As the trajectory of each target is naturally split into multiple sub …