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29 December 2000 Research environment for developing and testing object tracking algorithms
Todd Schoepflin, Christopher Lau, Rohit Garg, Donglok Kim, Yongmin Kim
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Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411845
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
We present an integrated research environment (RAVEN) that we have developed for the purpose of developing and testing object tracking algorithms. As a Windows application, RAVEN provides a user interface for loading and viewing video sequences and interacting with the segmentation and object tracking algorithms, which are included at run time as plug- ins. The plug-ins interact with RAVEN via a programming interface, enabling algorithm developers to concentrate on their ideas rather than on the user interface. Over the past two years. RAVEN has greatly enhanced the productivity of our researchers, enabling them to create a variety of new algorithms and extended RAVEN's capabilities via plug-ins. Examples include several object tracking algorithms, a live- wire segmentation algorithm, a methodology for the evaluation of segmentation quality, and even a mediaprocessor implementation of an object tracker. After implementing an algorithm, RAVEN makes it easy to present the results since it provides several mask display modes and output options for both image and video. We have found that RAVEN facilitates the entire research process, from prototyping an algorithm to visualization of the results to a mediaprocessor implementation.
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Todd Schoepflin, Christopher Lau, Rohit Garg, Donglok Kim, and Yongmin Kim "Research environment for developing and testing object tracking algorithms", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411845
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KEYWORDS
Algorithm development
Detection and tracking algorithms
Video
Image segmentation
Human-machine interfaces
Computer programming
Control systems
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