A multi-configuration part-based person detector
| Autor: | Thomas Sikora, Alvaro Garcia-Martin, Ruben Heras Evangelio |
|---|---|
| Přispěvatelé: | UAM. Departamento de Tecnología Electrónica y de las Comunicaciones, Tratamiento e Interpretación de Vídeo (ING EPS-006) |
| Rok vydání: | 2014 |
| Předmět: |
Scheme (programming language)
Telecomunicaciones business.industry Computer science Detector 02 engineering and technology 010501 environmental sciences Machine learning computer.software_genre 01 natural sciences Task (project management) Multi-configuration Body Parts People Detection 0202 electrical engineering electronic engineering information engineering Part-based Detector 020201 artificial intelligence & image processing Computer vision Artificial intelligence State (computer science) business computer 0105 earth and related environmental sciences computer.programming_language |
| Zdroj: | Biblos-e Archivo. Repositorio Institucional de la UAM instname SIGMAP |
| ISSN: | 2011-2599 |
| Popis: | Proceedings of the Special Session on Multimodal Security and Surveillance Analytics 2014, held during the International Conference on Signal Processing and Multimedia Applications (SIGMAP 2014) in Vienna People detection is a task that has generated a great interest in the computer vision and specially in the surveillance community. One of the main problems of this task in crowded scenarios is the high number of occlusions deriving from persons appearing in groups. In this paper, we address this problem by combining individual body part detectors in a statistical driven way in order to be able to detect persons even in case of failure of any detection of the body parts, i.e., we propose a generic scheme to deal with partial occlusions. We demonstrate the validity of our approach and compare it with other state of the art approaches on several public datasets. In our experiments we consider sequences with different complexities in terms of occupation and therefore with different number of people present in the scene, in order to highlight the benefits and difficulties of the approaches considered for evaluation. The results show that our approach improves the results provided by state of the art approaches specially in the case of crowded scenes This work has been done while visiting the Communication Systems Group at the Technische Universität Berlin (Germany) under the supervision of Prof. Dr.-Ing. Thomas Sikora. This work has been partially supported by the Universidad Aut´onoma de Madrid (“Programa propio de ayudas para estancias breves en España y extranjero para Personal Docente e Investigador en Formación de la UAM”), by the Spanish Government (TEC2011-25995 EventVideo) and by the European Community’s FP7 under grant agreement number 261776 (MOSAIC). |
| Databáze: | OpenAIRE |
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