Original approach for the localization of objects in images

R. Vaillant, C. Monrocq, Yann LeCun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The detection and localization of faces in an image has many applications in various domains: surveillance, TV audience polling, etc. We propose a new method for this task. The main idea of our method is to train a neural network to detect the presence or absence of a face in its input window, and to scan this network over at all possible locations in the image. Because of the nature of the neural network architecture we used, this process can be done very efficiently without requiring to actually recompute the entire network state at each location. The scanning is performed on several versions of the image at various scales, resulting in an efficient, scale independent detector and locator.

Original languageEnglish (US)
Title of host publicationIEE Conference Publication
PublisherPubl by IEE
Pages26-29
Number of pages4
Edition372
StatePublished - 1993
Event3rd International Conference on Artificial Neural Networks - Brighton, England
Duration: May 25 1993May 27 1993

Other

Other3rd International Conference on Artificial Neural Networks
CityBrighton, England
Period5/25/935/27/93

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Vaillant, R., Monrocq, C., & LeCun, Y. (1993). Original approach for the localization of objects in images. In IEE Conference Publication (372 ed., pp. 26-29). Publ by IEE.