کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
534624 870273 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Person re-identification in crowd
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Person re-identification in crowd
چکیده انگلیسی

Person re-identification aims to recognize the same person viewed by disjoint cameras at different time instants and locations. In this paper, after an extensive review of state-of-the-art approaches, we propose a re-identification method that takes into account the appearance of people, the spatial location of cameras and potential paths a person can choose to follow. This choice is modeled with a set of areas of interest (landmarks) that constrain the propagation of people trajectories in non-observed regions between the field-of-view of cameras. We represent people with a selective patch around their upper body to work in crowded scenes when occlusions are frequent. We demonstrate the proposed method in a challenging scenario from London Gatwick airport and compare it to well-known person re-identification methods, highlighting their strengths and limitations. Finally, we show by Cumulative Matching Characteristic curve that the best performance results by modeling people movements in non-observed regions combined with appearance methods, achieving an average improvement of 6% when only appearance is used and 15% when only motion is used for the association of people across cameras.


► Person re-identification is challenging in crowd and non-overlapping camera networks.
► Motion models are used for re-identification.
► Top-part of a person is the most representative in crowded scenarios.
► Combination of motion and appearance models improve re-identification.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 33, Issue 14, 15 October 2012, Pages 1828–1837
نویسندگان
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