A new strategy based on spatiogram similarity association for multi-pedestrian tracking
In: 4th International Conference on Image Processing Theory, Tools and Applications (IPTA) ; https://uphf.hal.science/hal-03475254 ; 4th International Conference on Image Processing Theory, 2014
Online
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Zugriff:
International audience ; Multiple pedestrian tracking is an active and challenging research topic that many different approaches have addressed it. Since Human stick changes over time and person usually moving in random way, the identity association remains a hard task. In this paper we propose a new method for coupling detections over all the frames of the video sequence in order to make a performant tracker. The pedestrian detection is ensured using the Dalal and Triggs's human detector. In order to overcome the problem of missing detections caused by occlusion, we propose to use an interpolation process based on average speed. Then, all the previously detections are organized over a tree structure, where each frame represents a tree level. All detections in level `i' are linked to the next level by an arc characterized by a cost representing the spatiogram similarity between these 2 detections. After trajectories refinement is done based on Euclidean distance to palliate the false detection association. An experimental study conducted in 2 datasets (CAVIAR and CWV) proves the good performance of our proposed method in term of tracker precision and tracker accuracy
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A new strategy based on spatiogram similarity association for multi-pedestrian tracking
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Autor/in / Beteiligte Person: | Mansouri, Nabila ; Ben Jemaa, Yousra ; Motamed, Cina ; Pinti, Antonio ; Watelain, Eric ; Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH) ; Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS) ; Unité de Recherche en développement et contrôle d'applications distribuées (REDCAD) ; École Nationale d'Ingénieurs de Sfax ; Unité de recherche Signaux et Systèmes Tunis (UR-U2S-ENIT) ; Ecole Nationale d'Ingénieurs de Tunis (ENIT) ; Université de Tunis El Manar (UTM)-Université de Tunis El Manar (UTM) ; Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC) ; Université du Littoral Côte d'Opale (ULCO) ; Imagerie Multimodale Multiéchelle et Modélisation du Tissu Osseux et articulaire (I3MTO) ; Université d'Orléans (UO) ; Laboratoire de Biomodélisation et Ingénierie des Handicaps - EA 4322 (HANDIBIO) ; Université de Toulon (UTLN) |
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Zeitschrift: | 4th International Conference on Image Processing Theory, Tools and Applications (IPTA) ; https://uphf.hal.science/hal-03475254 ; 4th International Conference on Image Processing Theory, 2014 |
Veröffentlichung: | HAL CCSD ; IEEE, 2014 |
Medientyp: | Konferenz |
DOI: | 10.1109/IPTA.2014.7001954 |
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