You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
30 July 1998Specialized processor for 3D real-time tracking of moving objects using the knowledge of their chromatic components
Tracking in real-time is a complex problem handled by researchers in may different manners. In a general way, a tracking system can be organized in some pipelined modules: the first one provides sensorial capabilities using some different technologies such as radar, ultrasonic, IR or CCD cameras, etc. The second one works as a pre-processing device, usually in real time, and supplies filtered information. The third step usually deals with algorithms, supplying information to the last and most important phase: scene understanding and taking decisions. This paper describes a whole computer vision system for tracking moving objects in real-time. First, a high-speed image processing hardware for computing 2D positions is presented. This hardware is the basic sensor of a higher-level system where the integration of several views of the scene allows the computation of 3D positions. Then, the mathematical formulation to solve the trinocular problem is pointed out.
The alert did not successfully save. Please try again later.
Joan Batlle, Rafael Garcia, Josep Forest, "Specialized processor for 3D real-time tracking of moving objects using the knowledge of their chromatic components," Proc. SPIE 3365, Acquisition, Tracking, and Pointing XII, (30 July 1998); https://doi.org/10.1117/12.317516