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Abstract
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Computer Science
Computer Vision

A Real-Time Video Tracking System

Profile image of Li GuanLi Guan

1980, IEEE Transactions on Pattern Analysis and Machine Intelligence

https://doi.org/10.1109/TPAMI.1980.4766969
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10 pages

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Abstract

Object identification and tracking applications of pattern recognition at video rates is a problem of wide interest, with previous attempts limited to very simple threshold or correlation (restricted window) methods. New high-speed algorithms together with fast digital hardware have produced a system for missile and aircraft identification and tracking that possesses a degree of "intelligence" not previously implemented in a real-time tracking system. Adaptive statistical clustering and projection-based classification algorithms are applied in real time to identify and track objects that change in appearance through complex and nonstationary background/foreground situations. Fast estimation and prediction algorithms combine linear and quadratic estimators to provide speed and sensitivity. Weights are determined to provide a measure of confi'dence in the data and resulting decisions. Strategies based on maximizing the probability of maintaining track are developed. This paper emphasizes the theoretical aspects of the system and discusses the techniques used to achieve realtime implementation. Index Terms-Image processing, intensity histograms, object identification, optical tracking, projections, tracking system, video data compression, video processing, video tracking. velopment of the real-time videotheodolite (RTV). U.S. Army White Sands Missile Range began the development of the RTV in 1974, and the system is being deployed at this time. Design philosophy called for a system capable of discriminatory judgment in identifying the object to be tracked with 60 independent observations/s, capable of locating the center of mass of the object projection on the image plane within about 2 per-Manuscript

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Related topics

  • Information Systems
  • Computer Science
  • Artificial Intelligence
  • Computer Vision
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