Real-time Vision-based Object Tracking from a Moving Platform in the Air

Generally the scene of the visual surveillance using one camera is confined within certain limits. If you want to extend the surveillance area, you need multiple cameras. It attempts to detect, recognize and track certain objects from image sequences. This paper presents a simple and effective appro...

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Bibliographic Details
Main Authors: Wei Ding, Zhenbang Gong, Shaorong Xie, Hairong Zou
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Feature Extraction
Image motion analysis
Image segmentation
Layout
Lighting
Optical noise
Optical sensors
Predicting
Segmenting
Surveillance
Threshold
Tracking
Unmanned aerial vehicles
Vehicle dynamics
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Summary:Generally the scene of the visual surveillance using one camera is confined within certain limits. If you want to extend the surveillance area, you need multiple cameras. It attempts to detect, recognize and track certain objects from image sequences. This paper presents a simple and effective approach segmenting and tracking a moving object from a moving platform in the air such as UAV or ballonet airship, etc. The moving platform can follow the tracked object during a long distance. It can be used to track the doubtful vehicle and strengthen the visual surveillance more. The proposed approach is efficient and robust. The object is searched only in a subwindow of the current frame. The position of sub-window is estimated by its position in the last two frames. The features of the object are updated in each frame. The approach produces good tracking results at a frame rate of 25 fps. It is available in tracking a moving object in various scenes
ISSN:2153-0858
2153-0866
DOI:10.1109/IROS.2006.282612