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When intelligent transportation systems sensing meets edge computing: Vision and challenges
The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …
that can leverage the power of big data to benefit many aspects of our daily life, such as …
Transreid: Transformer-based object re-identification
Extracting robust feature representation is one of the key challenges in object re-
identification (ReID). Although convolution neural network (CNN)-based methods have …
identification (ReID). Although convolution neural network (CNN)-based methods have …
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 …
Vision-based autonomous vehicle recognition: A new challenge for deep learning-based systems
Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention
recently. Particularly given the reliance on emerging deep learning methods, which have …
recently. Particularly given the reliance on emerging deep learning methods, which have …
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 …
A multi-domain mixture density network for tool wear prediction under multiple machining conditions
Accurate tool wear prediction is an essential task in machining processes because it helps
to schedule efficient tool maintenance and maximise the tool's useful life, thus contributing to …
to schedule efficient tool maintenance and maximise the tool's useful life, thus contributing to …
A strong baseline for vehicle re-identification
SV Huynh - Proceedings of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
Abstract Vehicle Re-Identification (Re-ID) aims to identify the same vehicle across different
cameras, hence plays an important role in modern traffic management systems. The …
cameras, hence plays an important role in modern traffic management systems. The …
Hsgm: A hierarchical similarity graph module for object re-identification
Existing object re-identification methods usually utilize backbone networks developed based
on classification tasks to obtain the final object features. However, these backbone networks …
on classification tasks to obtain the final object features. However, these backbone networks …
An occlusion-aware multi-target multi-camera tracking system
Multi-camera tracking of vehicles on a city-scale level is a crucial task for efficient traffic
monitoring. Most of the errors made by such multi-target multi-camera tracking systems arise …
monitoring. Most of the errors made by such multi-target multi-camera tracking systems arise …
An empirical study of vehicle re-identification on the AI City Challenge
This paper introduces our solution for the Track2 in AI City Challenge 2021 (AICITY21). The
Track2 is a vehicle re-identification (ReID) task with both the real-world data and synthetic …
Track2 is a vehicle re-identification (ReID) task with both the real-world data and synthetic …