An Efficient Approach To Object Recognition For Mobile Robots.

AHMED, M Shuja, SAATCHI, Reza and CAPARRELLI, Fabio (2013). An Efficient Approach To Object Recognition For Mobile Robots. In: BENAVENTE-PECES, Cesar and FILIPE, Joaquim, (eds.) Proceedings of the 3rd International Conference on Pervasive Embedded Computing and Communication Systems. Scitepress, 60-65.

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Abstract

In robotics, the object recognition approaches developed so far have proved very valuable, but their high memory and processing requirements make them suitable only for robots with high processing capability or for offline processing. When it comes to small size robots, these approaches are not effective and light- weight vision processing is adopted which causes a big drop in recognition performance. In this research, a computationally expensive, but efficient appearance-based object recognition approach is considered and tested on a small robotic platform which has limited memory and processing resources. Rather than processing the high resolution images, all the times, to perform recognition, a novel idea of switching between high and low resolutions, based on the “distance to object” is adopted. It is also shown that much of the computation time can be saved by identifying the irrelevant information in the images and avoid processing them with computationally expensive approaches. This helps to bridge the gap between the computationally expensive approaches and embedded platform with limited processing resources.

Item Type: Book Section
Research Institute, Centre or Group: Materials and Engineering Research Institute > Engineering Research
Identification Number: 10.5220/0004314800600065
Related URLs:
Depositing User: Fabio Caparrelli
Date Deposited: 25 Aug 2017 08:48
Last Modified: 25 Aug 2017 08:53
URI: http://shura.shu.ac.uk/id/eprint/13709

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