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Real-time human detection, tracking, and verification in uncontrolled camera motion environments (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Hussein, Mohamed Abd-Almageed, Wael Ran, Yang Davis, Larry |
| Description | In environments where a camera is installed on a freely moving platform, e.g. a vehicle or a robot, object detection and tracking becomes much more difficult. In this paper, we presents a real time system for human detection, tracking, and verification in such challenging environments. To deliver a robust performance, the system integrates several computer vision algorithms to perform its function: a human detection algorithm, an object tracking algorithm, and a motion analysis algorithm. To utilize the available computing resources to the maximum possible extent, each of the system components is designed to work in a separate thread that communicates with the other threads through shared data structures. The focus of this paper is more on the implementation issues than on the algorithmic issues of algorithmic details away from the system structure. 1 |
| File Format | |
| Language | English |
| Publisher Date | 2006-01-01 |
| Publisher Institution | In IEEE Int. Conf. on Computer Vision Systems, ICVS’06 |
| Access Restriction | Open |
| Subject Keyword | Object Detection Robust Performance Algorithmic Issue System Component Human Detection Data Structure Human Detection Algorithm Implementation Issue Motion Analysis Algorithm Real-time Human Detection Object Tracking Algorithm System Structure Maximum Possible Extent Uncontrolled Camera Motion Environment Several Computer Vision Algorithm Algorithmic Detail Challenging Environment Real Time System Separate Thread |
| Content Type | Text |
| Resource Type | Article |
