Paper
31 July 2002 Image stabilization for object tracking
Jun Wang, Yunde Jia
Author Affiliations +
Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477085
Event: Second International Conference on Image and Graphics, 2002, Hefei, China
Abstract
Image stabilization can be used in a variety of tasks in which dynamic image analysis is required, such as video steering, robot video monitoring, object tracking and wearable system. In this paper, we present a motion model to estimate the motion parameters for image stabilization by using feature points extracted from consecutive frames. Motion compensation is achieved by warping the current frame to a reference frame whose selection depends on different compensation methods. The experimental result shows that the stabilization rate is up to 25 frames per second with tracking window size 1 12x 128 pixels.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Wang and Yunde Jia "Image stabilization for object tracking", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477085
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KEYWORDS
Motion estimation

Video

Cameras

Feature extraction

Image processing

Detection and tracking algorithms

Image analysis

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