Work

Probabilistic data association methods for tracking complex visual objects

Year: 2001

Type: article

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI: 10.1109/34.927458

Authors: C. Rasmussen, G.D. Hager

Institutions: National Institute of Standards and Technology, Johns Hopkins University, Johns Hopkins University Applied Physics Laboratory

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2107401725

FWCI: 15.76

Cites: 44

Cited by: 375

Related to: 10