Hota: A higher order metric for evaluating multi-object tracking

J Luiten, A Osep, P Dendorfer, P Torr, A Geiger… - International journal of …, 2021 - Springer
Multi-object tracking (MOT) has been notoriously difficult to evaluate. Previous metrics
overemphasize the importance of either detection or association. To address this, we …

The VIA annotation software for images, audio and video

A Dutta, A Zisserman - Proceedings of the 27th ACM international …, 2019 - dl.acm.org
In this paper, we introduce a simple and standalone manual annotation tool for images,
audio and video: the VGG Image Annotator (VIA). This is a light weight, standalone and …

The 7th ai city challenge

M Naphade, S Wang, DC Anastasiu… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Object detection in traffic videos: A survey

H Ghahremannezhad, H Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …

[PDF][PDF] The 2019 AI City Challenge.

M Naphade, Z Tang, MC Chang… - CVPR …, 2019 - openaccess.thecvf.com
Abstract The AI City Challenge has been created to accelerate intelligent video analysis that
helps make cities smarter and safer. With millions of traffic video cameras acting as sensors …

Vehicle tracking and speed estimation from traffic videos

S Hua, M Kapoor, DC Anastasiu - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
The rapid recent advancements in the computation ability of everyday computers have made
it possible to widely apply deep learning methods to the analysis of traffic surveillance …

The 2018 nvidia ai city challenge

M Naphade, MC Chang, A Sharma… - Proceedings of the …, 2018 - openaccess.thecvf.com
Abstract The NVIDIA AI City Challenge has been created to accelerate intelligent video
analysis that helps make cities smarter and safer. With millions of traffic video cameras …

Approximate query service on autonomous iot cameras

M Xu, X Zhang, Y Liu, G Huang, X Liu… - Proceedings of the 18th …, 2020 - dl.acm.org
Elf is a runtime for an energy-constrained camera to continuously summarize video scenes
as approximate object counts. Elf's novelty centers on planning the camera's count actions …

Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques

R Xu, S Razavi, R Zheng - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Video, as a key driver in the global explosion of digital information, can create tremendous
benefits for human society. Governments and enterprises are deploying innumerable …

Cityflow-nl: Tracking and retrieval of vehicles at city scale by natural language descriptions

Q Feng, V Ablavsky, S Sclaroff - arXiv preprint arXiv:2101.04741, 2021 - arxiv.org
Natural Language (NL) descriptions can be one of the most convenient or the only way to
interact with systems built to understand and detect city scale traffic patterns and vehicle …