Real time viterbi optimization of hidden Markov Models for multi target tracking
Författare
Summary, in English
In this paper the problem of tracking multiple objects in image sequences is studied. A Hidden Markov Model describing the movements of multiple objects is presented. Previously similar models have been used, but in real time system the standard dynamic programming Viterbi algorithm is typically not used to find the global optimum state sequence, as it requires that all past and future observations are available. In this paper we present an extension to the Viterbi algorithm that allows it to operate on infinite time sequences and produce the optimum with only a finite delay. This makes it possible to use the Viterbi algorithm in real time applications. Also, to handle the large state spaces of these models another extension is proposed. The global optimum is found by iteratively running an approximative algorithm with higher and higher precision. The algorithm can determine when the global optimum is found by maintaining an upper bound on all state sequences not evaluated. For real time performance some approximations are needed and two such approximations are suggested. The theory has been tested on three real data experiments, all with promising results.
Avdelning/ar
Publiceringsår
2007
Språk
Engelska
Publikation/Tidskrift/Serie
2007 IEEE Workshop on Motion and Video Computing (WMVC'07)
Dokumenttyp
Konferensbidrag
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Mathematics
- Computer Vision and Robotics (Autonomous Systems)
Nyckelord
- State sequences
- Optimum state sequences
- Viterbi optimization
- Finite delays
Conference name
2007 IEEE Workshop on Motion and Video Computing, WMVC 2007
Conference date
2007-02-23 - 2007-02-24
Conference place
Austin, TX, United States
Status
Published
ISBN/ISSN/Övrigt
- ISBN: 0-7695-2793-0