Robust Descriptors Fusion for Pedestrians Re-identification and Tracking Across a Camera NetworkReport as inadecuate




Robust Descriptors Fusion for Pedestrians Re-identification and Tracking Across a Camera Network - Download this document for free, or read online. Document in PDF available to download.

1 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique 2 Signal and System Research Unit 3 IRAUS PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique 4 MIRACL

Abstract : In this paper, we introduce a new approach to identify people in multi-camera based on AdaBoost descriptors cascade. Given the complexity of this task, we propose a new regional color feature vector based on intra and inter color histograms fusion to characterize a person in multi-camera. This descriptor is, then, integrated into an extensive comparative study with several existing color, texture and shape feature vectors in order to choose the best ones. We prove through a comparative study with the main existing approaches on the VIPeR dataset and using Cumulative Matching Characteristic measurement that the proposed approach is very suitable toidentify a person providing very satisfactory performances.





Author: Ahmed Derbel - Yousra Ben Jemaa - Sylvie Treuillet - Bruno Emile - Raphael Canals - Abdelmajid Ben Hamadou -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents