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Automatic object searching system based on Real Time SIFT Algorithm

G. Kishore Kumar, Golla Vara Prasad, G. Mamatha

发表年份
2010
引用次数
7

摘要

The field of object searching and recognition systems is an increasingly popular area of focus for industry and research labs alike. Object searching mechanism is a challenging task. The proposed system makes use of computer vision techniques. Real time object search poses many difficulties in recognizing objects. These difficulties can be overcome by Triangular Matrix Search Algorithm and Real Time SIFT Algorithm, which is an improved version of scale invariant feature transform(SIFT) for real time situations. This paper presents the results of experimental studies on object searching systems performance. For this an integrated hardware platform has developed, which consists of PTZ IP-camera and embedded system based wheeled robot.

关键词

Scale-invariant feature transformComputer scienceArtificial intelligenceComputer visionObject (grammar)Cognitive neuroscience of visual object recognitionRobot3D single-object recognitionFocus (optics)Object detection

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