Maki, A and Seki, A and Watanabe, T and Cipolla, R (2011) Co-occurrence flow for pedestrian detection. Proceedings - International Conference on Image Processing, ICIP. pp. 1889-1892. ISSN 1522-4880Full text not available from this repository.
The last few years have seen considerable progress in pedestrian detection. Recent work has established a combination of oriented gradients and optic flow as effective features although the detection rates are still unsatisfactory for practical use. This paper introduces a new type of motion feature, the co-occurrence flow (CoF). The advance is to capture relative movements of different parts of the entire body, unlike existing motion features which extract internal motion in a local fashion. Through evaluations on the TUD-Brussels pedestrian dataset, we show that our motion feature based on co-occurrence flow contributes to boost the performance of existing methods. © 2011 IEEE.
|Divisions:||Div F > Machine Intelligence|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:56|
|Last Modified:||25 Feb 2017 01:05|