We propose a novel multiple‐object tracking algorithm for real‐time intelligent video
surveillance. We adopt particle filtering as our tracking framework. Background modeling …

In this research, we developed a highly accurate pedestrian tracking system using multiple
Light Detection And Rangings (LiDARs). Tracking using multiple LiDARs effectively covers a …

In this paper, we present a pedestrian tracking system by using image segmentation
algorithm, which incorporated pedestrian shape prior into Random Walks segmentation [1] …

In this paper, we propose a new software tool called DALES to extract semantic information
from multi-view videos based on the analysis of their visual content. Our system is fully …

In this paper, we propose to tackle with multiple video-object detection and recognition in a
multi-camera environment using active contours. Indeed, with the growth of multi-camera …

Pedestrian tracking plays a crucial role in security and intelligent video surveillance.
Occlusion handling is a challenging concern in tracking multiple people. Adaptive …

Video surveillance of security-critical areas is being used more frequently. Evaluations and
the timely recognition of problematic movements are limited by personnel resources …

Intelligent video analysis systems are increasingly employed to provide statistics of
customers. People counting is critical among several components of commercial purpose …