Our goal is to develop real-time vehicle detection and tracking schemes for fisheye traffic
monitoring video using the temporal information in the compressed domain without …

We develop a vehicle detection and tracking scheme based on the concept of motion trails
for fisheye traffic monitoring videos. The motion trail combines the moving object traces in …

We design a fast car detection and tracking algorithm for traffic monitoring fisheye video
mounted on crossroads. We use ICIP 2020 VIP Cup dataset and adopt YOLOv5 as the …

To achieve the intelligent perception of traffic video and overcome the dispersion of
computing modules and the separation processing of multiple tasks, efficient chained centre …

Based on tracking-by-detection strategy, this paper proposes a detection and tracking
method for multi-scale vehicle targets. The method consists of object detection and trajectory …

Object detection and object tracking are usually treated as two separate processes.
Significant progress has been made for object detection in 2D images using deep learning …

Vehicle detection in videos is a valuable but challenging technology in traffic monitoring.
Due to the advantage of real-time detection, Single Shot MultiBox Detector (SSD) is often …

Object detection and tracking at real time is important and challenging tasks in many
computer vision applications such as video robot navigation, surveillance, vehicle …

Multi-camera vehicle tracking at the city scale is an essential task in traffic management for
smart cities. Large-scale video analytics is challenging due to the vehicle variabilities, view …

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 …