Video Based Group Tracking and Management

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Pereira, A (Autor) Outra; Familiar, A (Autor) Outra; Moreira, B (Autor) Outra; Teresa C. S. Azevedo (Autor) Outra; Pedro Carvalho (Autor) Outra; Luís Corte-Real (Autor) FEUP

Ata de Conferência Internacional

Título: IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016)

Páginas: 423-430

13th International Conference on Image Analysis and Recognition in Memory of Mohamed Kamel (ICIAR)

Povoa de Varzim, PORTUGAL, JUL 13-15, 2016

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00K-PAX

DOI: 10.1007/978-3-319-41501-7_48

Abstract (EN): Tracking objects in video is a very challenging research topic, particularly when people in groups are tracked, with partial and full occlusions and group dynamics being common difficulties. Hence, its necessary to deal with group tracking, formation and separation, while assuring the overall consistency of the individuals. This paper proposes enhancements to a group management and tracking algorithm that receives information of the persons in the scene, detects the existing groups and keeps track of the persons that belong to it. Since input information for group management algorithms is typically provided by a tracking algorithm and it is affected by noise, mechanisms for handling such noisy input tracking information were also successfully included. Performed experiments demonstrated that the described algorithm outperformed state-of-the-art approaches.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8