Smart system for blurring undesirable objects in road applications

Wissam Kaddah; Ehsan Sedgh Gooya; Ayman Alfalou

doi:10.1117/12.2618745

27 May 2022 Smart system for blurring undesirable objects in road applications

Wissam Kaddah, Ehsan Sedgh Gooya, Ayman Alfalou

Proceedings Volume 12101, Pattern Recognition and Tracking XXXIII; 1210105 (2022) https://doi.org/10.1117/12.2618745
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

For many smart road applications, objects detection and recognition are one of the most important components. Indeed, precise detection of road objects is a critical task for autonomous urban driving and robotics technologies. In this paper, we describe our real-time smart system that consists in detecting and blurring undesirable road objects to anonymize and secure road users. Indeed, our proposed method is divided into three steps. The first step concerns the acquisition of images using the VIAPIX® system [1] developed by the ACTRIS company [2]. The second step is based on a neuronal approach for objects detection, namely vehicles, persons, road signs, etc. The third step allows to blur among the various objects detected only those which are undesirable on the road, i.e., person's faces, license plate. The obtained results demonstrate the efficiency of our robust approach in terms of good detection.

Conference Presentation

Citation Download Citation

Wissam Kaddah, Ehsan Sedgh Gooya, and Ayman Alfalou "Smart system for blurring undesirable objects in road applications", Proc. SPIE 12101, Pattern Recognition and Tracking XXXIII, 1210105 (27 May 2022); https://doi.org/10.1117/12.2618745

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