[HTML][HTML] Multi-camera multi-object tracking: a review of current trends and future advances
The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …
applications makes it a significant computer vision problem. While visual tracking of objects …
The 7th ai city challenge
Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
Recent advances in embedding methods for multi-object tracking: a survey
Multi-object tracking (MOT) aims to associate target objects across video frames in order to
obtain entire moving trajectories. With the advancement of deep neural networks and the …
obtain entire moving trajectories. With the advancement of deep neural networks and the …
Exploit the connectivity: Multi-object tracking with trackletnet
Multi-object tracking (MOT) is an important topic and critical task related to both static and
moving camera applications, such as traffic flow analysis, autonomous driving and robotic …
moving camera applications, such as traffic flow analysis, autonomous driving and robotic …
The devil is in the details: Self-supervised attention for vehicle re-identification
In recent years, the research community has approached the problem of vehicle re-
identification (re-id) with attention-based models, specifically focusing on regions of a …
identification (re-id) with attention-based models, specifically focusing on regions of a …
Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning
Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …
However, they are currently isolated and can only extract information from each of their fixed …
Track without appearance: Learn box and tracklet embedding with local and global motion patterns for vehicle tracking
Vehicle tracking is an essential task in the multi-object tracking (MOT) field. A distinct
characteristic in vehicle tracking is that the trajectories of vehicles are fairly smooth in both …
characteristic in vehicle tracking is that the trajectories of vehicles are fairly smooth in both …
City-scale multi-camera vehicle tracking guided by crossroad zones
Abstract Multi-Target Multi-Camera Tracking has a wide range of applications and is the
basis for many advanced inferences and predictions. This paper describes our solution to …
basis for many advanced inferences and predictions. This paper describes our solution to …
Rodnet: Radar object detection using cross-modal supervision
Radar is usually more robust than the camera in severe driving scenarios, eg, weak/strong
lighting and bad weather. However, unlike RGB images captured by a camera, the semantic …
lighting and bad weather. However, unlike RGB images captured by a camera, the semantic …
Multi-camera vehicle tracking system for ai city challenge 2022
F Li, Z Wang, D Nie, S Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …
systems. The track 1 of AI City Challenge 2022 aims at the city-scale multi-camera vehicle …