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Proceedings ArticleDOI

Real-time tracking of people using stereo and motion

H. K. Nishihara, +2 more
- Vol. 2183, pp 266-273
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TLDR
A unique correlation algorithm as well as special hardware accelerators to allow it to operate at video frame rate and the use of these capabilities to drive an active camera head and a robot vehicle in person-following demonstrations are illustrated.
Abstract
Depth and motion measurements from images have a variety of industrial and non-industrial applications. Underlying these two measurement modalities is the ability to accurately and reliably correlate portions of images separated in space, as in the case of a stereo pair, or time, as in the case of a motion sequence. We have developed a unique correlation algorithm as well as special hardware accelerators to allow it to operate at video frame rate. The ability to make measurements in real time is invaluable in observing algorithm performance on dynamic scenes; real-time feedback has also allowed us to apply these low-level measurements in unique ways to several perceptual tasks. In this paper, we describe our progress in the areas of figure-ground separation and active object tracking using our correlation techniques. We illustrate the use of these capabilities to drive an active camera head and a robot vehicle in person-following demonstrations.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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Citations
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Proceedings ArticleDOI

Elliptical head tracking using intensity gradients and color histograms

TL;DR: An algorithm that is able to track a person's head with enough accuracy to automatically control the camera's pan, tilt, and zoom in order to keep the person centered in the field of view at a desired size is presented.
Proceedings ArticleDOI

Visual Tracking Using Depth Data

TL;DR: A method is presented for robust tracking in highly cluttered environments that makes effective use of 3D depth sensing technology, resulting in illumination-invariant tracking.
Patent

Target orientation estimation using depth sensing

TL;DR: In this article, a system for estimating orientation of a target based on real-time video data using depth data included in the video to determine the estimated orientation is presented, which includes a time-of-flight camera capable of depth sensing within a depth window.
Proceedings ArticleDOI

An elliptical head tracker

TL;DR: A simple algorithm for tracking a person's head is presented, which tolerates full 360-degree rotation of the body as well as moderate amounts of occlusion, and it performs reacquisition of the subject.
Book ChapterDOI

Experiments in Hand-Eye Coordination Using Active Vision

TL;DR: Experimental results for real time catching of free-flying spherical balls are presented, and a new active vision system which requires a minimally controlled environment, and implements methods for object tracking, robot/camera calibration, and new catching algorithms are presented.
References
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Object tracking with stereo vision

TL;DR: A real-time active stereo vision system incorporating gaze control and task directed vision is described, with emphasis on object tracking and object size and shape determination.