publication . Conference object . 2009

Optimal scanning for faster object detection

N.J. Butko; J.R. Movellan;
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  • Published: 24 Aug 2009
  • Publisher: IEEE
Abstract
Recent years have seen the development of fast and accurate algorithms for detecting objects in images. However, as the size of the scene grows, so do the running-times of these algorithms. If a 128×102 pixel image requires 20 ms to process, searching for objects in a 1280×1024 image will take 2 s. This is unsuitable under real-time operating constraints: by the time a frame has been processed, the object may have moved. An analogous problem occurs when controlling robot camera that need to scan scenes in search of target objects. In this paper, we consider a method for improving the run-time of general-purpose object-detection algorithms. Our method is based on...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Pixel, Computer science, Robot, Visualization, Artificial intelligence, business.industry, business, Overhead (computing), Computer vision, Image resolution, Visual search, Object detection, Detector
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