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 …

Artificial intelligence-based surveillance system, one of the essential systems for smart cities,
plays a critical role in ensuring the safety and well-being of individuals. In this paper, we …

Multi-camera tracking of vehicles on a city-wide level is a core component of modern traffic
monitoring systems. For this task, single-camera tracking failures are the most common …

Multi-target multi-camera tracking of persons in indoor scenarios such as retail stores or
warehouses enables efficient placement of products and improvement of working …

Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for
traffic monitoring, management, and optimization as the number of network cameras …

This paper presents intersection analysis using computer vision techniques with Simulation
of Urban MObility (SUMO). First, an efficient deep-visual tracking pipeline is proposed by …

This letter focuses on the task of Multi-Target Multi-Camera vehicle tracking. We propose to
associate single-camera trajectories into multi-camera global trajectories by training a Graph …

The high-speed gaze and high resolution are critical factors for actual monitoring systems.
However, the conventional method cannot track and zoom as fast as expected due to the …

There are a large number of cameras in modern transportation system that capture
numerous vehicle images continuously. Therefore, automatic analysis of these vehicle …

Cross-camera video analytics is a major video ana-lytic task that associates and analyzes
information across multiple cameras. However, the searching cost for existing cross-camera …