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Probabilistic Modeling of Dynamic Traffic Flow across Non-overlapping Camera Views

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4 Author(s)
Ching-Chun Huang ; Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan ; Wei-Chen Chiu ; Sheng-Jyh Wang ; Jen-Hui Chuang

In this paper, we propose a probabilistic method to model the dynamic traffic flow across non-overlapping camera views. By assuming the transition time of object movement follows a certain global model, we may infer the time-varying traffic status in the unseen region without performing explicit object correspondence between camera views. In this paper, we model object correspondence and parameter estimation as a unified problem under the proposed Expectation-Maximization (EM) based framework. By treating object correspondence as a latent random variable, the proposed framework can iteratively search for the optimal model parameters with the implicit consideration of object correspondence.

Published in:

Pattern Recognition (ICPR), 2010 20th International Conference on

Date of Conference:

23-26 Aug. 2010

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