Adaptive Edge-Enhanced Correlation Based Robust and Real-Time Visual Tracking Framework and Its Deployment in Machine Vision Systems (2008)
Abstract / truncated to 115 words
An adaptive edge-enhanced correlation based robust and real-time visual tracking framework, and two machine vision systems based on the framework are proposed. The visual tracking algorithm can track any object of interest in a video acquired from a stationary or moving camera. It can handle the real-world problems, such as noise, clutter, occlusion, uneven illumination, varying appearance, orientation, scale, and velocity of the maneuvering object, and object fading and obscuration in low contrast video at various zoom levels. The proposed machine vision systems are an active camera tracking system and a vision based system for a UGV (unmanned ground vehicle) to handle a road intersection. The core of the proposed visual tracking framework is an ...
visual tracking – adaptive edge-enhanced correlation – active camera – unmanned ground vehicle
Information
- Author
- Ahmed, Javed
- Institution
- Electrical (Telecom.) Engineering Department, National University of Sciences and Technology, Rawalpindi, Pakistan.
- Supervisors
- Publication Year
- 2008
- Upload Date
- Dec. 17, 2008
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