Video Based Group Tracking and Management

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

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

Conference proceedings International

Title: IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016)

Pages: 423-430

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

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

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8