Y.: Tracking multiple pedestrians in crowd Export

@inproceedings{Uchida2000, abstract = {In the domain of city design, the demand for the development of the visual tracking method is increasing, which provides the pedestrian paths. This paper proposes the tracking method which reduces the ambiguity of matching. When features of a pedestrian are ambiguous in the original image, the proposed method generates plural candidates for the pedestrian path. In the following frames the proposed method verifies them to eliminate false ones. We experiment on real image sequences. 1}, author = {Uchida, Kyousuke and Miura, Jun and Shirai, Yoshiaki}, booktitle = {In: Workshop of Machine Vision and its Applications}, citeulike-article-id = {3224429}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.3426}, keywords = {crowd-control}, pages = {533--536}, posted-at = {2008-09-11 05:33:08}, priority = {2}, title = {Y.: Tracking multiple pedestrians in crowd}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.3426}, year = {2000} }

TY - CONF ID - Uchida2000 L3 - citeulike-article-id:3224429 N2 - In the domain of city design, the demand for the development of the visual tracking method is increasing, which provides the pedestrian paths. This paper proposes the tracking method which reduces the ambiguity of matching. When features of a pedestrian are ambiguous in the original image, the proposed method generates plural candidates for the pedestrian path. In the following frames the proposed method verifies them to eliminate false ones. We experiment on real image sequences. 1 EP - 536 TI - Y.: Tracking multiple pedestrians in crowd T2 - In: Workshop of Machine Vision and its Applications SP - 533 KW - crowd-control AU - Uchida, Kyousuke AU - Miura, Jun AU - Shirai, Yoshiaki PY - 2000/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.3426 ER -