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TOUCH: a robotic vision system for underwater object tracking

Anuj Sehgal, Jason Kadarusman, Leslie Fife

发表年份
2005
引用次数
10

摘要

TOUCH is a real-time computer vision system that has been developed in order to aid the operation of autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs). The algorithm is based on a modified 4-connectivity approach that scans the incoming frames for a target hue range and based upon the largest connected blobs of hue, tracks an object and provides the two dimensional Cartesian coordinates of the desired object. Since few algorithms exist for tracking and recognizing objects in underwater environments, this algorithm provides a way for AUVs and ROVs to acquire, track or recognize objects by using a relatively fast and inexpensive vision system. This paper presents the details on TOUCH, its testing, some areas that warrant improvement and possible course of action for the future.

关键词

Computer visionArtificial intelligenceComputer scienceUnderwaterRemotely operated underwater vehicleObject (grammar)Object detectionVideo trackingTracking systemTracking (education)

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