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In intelligent surveillance field, the numerous methods have been proposed for foreground extraction from a stationary or dynamic background from a general video sequence. It is very difficult for the proposed methods to have both high accuracy, low computational complexity and less memory requirements. Unlike previous approaches to object detection which detect objects by building adaptive models...
In this paper an improved real time algorithm for detecting pedestrians in surveillance video is proposed. The algorithm is based on people appearance and defines a person model as the union of four models of body parts. Firstly, motion segmentation is performed to detect moving pixels. Then, moving regions are extracted and tracked. Finally, the detected moving objects are classified as human or...
A new method for real-time detection and tracking of multiple moving vehicles from traffic video is proposed. This method first uses MoG and texture based model to extract foreground from the scene, then detect moving targets using a modified version of timed motion history image (tMHI), and finally uses Kalman prediction filter to track these targets, which the full moving trajectories of the targets...
Identifying moving objects from a video sequence is a fundamental and critical task in many computer vision applications. We develop an efficient adaptive segmentation algorithm for color video surveillance sequence in real time with non-stationary background; background is modeled using partial correlation coefficient using pixel-level based approach. At runtime, segmentation is performed by checking...
In this paper we present a real-time object tracking system for monocular video sequences with static camera. The workflow is based on a pixel-based foreground detection system followed by foreground object tracking. The foreground detection method performs the segmentation in three levels: Moving Foreground, Static Foreground and Background level. The tracking uses the foreground segmentation for...
In this paper, we designed a simple and fast visual surveillance system to track human position and to determine if any abnormal behavior like wall climbing and falling happened. By taking both time and background difference into considerations, illumination effects could be greatly reduced while calculating motion masks. Refinements including holes filling, shadow removal, and noise reduction are...
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