Towards discriminative representation learning for unsupervised person re-identification
In this work, we address the problem of unsupervised domain adaptation for person re-ID
where annotations are available for the source domain but not for target. Previous methods …
where annotations are available for the source domain but not for target. Previous methods …
A vision-based system for traffic anomaly detection using deep learning and decision trees
A Aboah - Proceedings of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic
accidents in real-time. In this paper, we propose a Decision-Tree enabled approach …
accidents in real-time. In this paper, we propose a Decision-Tree enabled approach …
Parallel residual bi-fusion feature pyramid network for accurate single-shot object detection
This paper proposes the Parallel Residual Bi-Fusion Feature Pyramid Network (PRB-FPN)
for fast and accurate single-shot object detection. Feature Pyramid (FP) is widely used in …
for fast and accurate single-shot object detection. Feature Pyramid (FP) is widely used in …
Dyglip: A dynamic graph model with link prediction for accurate multi-camera multiple object tracking
Abstract Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer vision
problem due to its emerging applicability in several real-world applications. Despite a large …
problem due to its emerging applicability in several real-world applications. Despite a large …
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 …
Multi-target multi-camera tracking of vehicles using metadata-aided re-id and trajectory-based camera link model
In this paper, we propose a novel framework for multi-target multi-camera tracking (MTMCT)
of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based …
of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based …
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 …
Cityflow-nl: Tracking and retrieval of vehicles at city scale by natural language descriptions
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 …
interact with systems built to understand and detect city scale traffic patterns and vehicle …
Robust vehicle re-identification via rigid structure prior
Vehicle re-identification (re-id) is one of the most important components in the current
intelligence transport system, benefiting both the smart traffic management and the optimal …
intelligence transport system, benefiting both the smart traffic management and the optimal …
Carom-vehicle localization and traffic scene reconstruction from monocular cameras on road infrastructures
Traffic monitoring cameras are powerful tools for traffic management and essential
components of intelligent road infrastructure systems. In this paper, we present a vehicle …
components of intelligent road infrastructure systems. In this paper, we present a vehicle …