Single-scan multiple object detection based on template matching using only effective pixels

Sakura Eba; Naoya Nakabayashi; Manabu Hashimoto

doi:10.1117/12.2624398

30 April 2022 Single-scan multiple object detection based on template matching using only effective pixels

Sakura Eba, Naoya Nakabayashi, Manabu Hashimoto

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121770C (2022) https://doi.org/10.1117/12.2624398
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

In this paper, we propose a template matching method that enables multi-class classification by scanning an input image only once, focusing on the classification ability of each pixel in the template image. This ability of each pixel in the template image is represented by using the occurrence frequency of the pixel value. On the basis of this ability, a small number of pixels that are effective for class identification are selected. Experimental results in the task of detecting five kinds of objects from 100 real images showed that the recognition rate of the proposed method was 95.4% and the processing time was 1.9 seconds when 0.6% of all template pixels were used.

Citation Download Citation

Sakura Eba, Naoya Nakabayashi, and Manabu Hashimoto "Single-scan multiple object detection based on template matching using only effective pixels", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121770C (30 April 2022); https://doi.org/10.1117/12.2624398

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KEYWORDS

Image classification

Image processing

Genetic algorithms

Optimization (mathematics)

Object recognition

Reliability

Robots

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