Visual Duplicates Image Search for a Non-cooperative Person Recognition at a Distance

Authors

Sochenkov I.

Annotation

The project is aimed at developing new person recognition algorithm, which deals with the problems using matching of filtered histograms of oriented gradients computed in circular sliding windows and using inverted index of histograms for efficient image retrieval. The project results have various scientific, industry and social applications, which require automatic non-cooperative indoors and outdoors person recognition at a distance using multimodal biometrics extracted from multisensory noisy data. For instance, new security and surveillance systems working under in open weather could be developed based on the proposed methods. The performance of the proposed person recognition algorithm in the actual environment is presented and discussed. The results of computer simulation obtained with the proposed algorithm are compared to those of available algorithms in terms of matching accuracy and processing time.

External links

DOI: https://doi.org/10.1016/j.proeng.2015.12.147

Download PDF or read online at ResearchGate: https://www.researchgate.net/publication/287419277_Visual_Duplicates_Image_Search_for_a_Non-cooperative_Person_Recognition_at_a_Distance

Reference link

Sochenkov I., Vokhmintsev A. Visual Duplicates Image Search for a Non-cooperative Person Recognition at a Distance // Procedia Engineering. – 2015. – Volume 129. – pp. 440-445