Dataset Groups Activity Stream AttMOT A synthetic dataset for pedestrian tracking and Re-ID with highly accurate and rich labels of ids, 2D bounding box coordinates, and semantic attributes. BibTex: @dataset{Yunhao_Li_and_Zhen_Xiao_and_Lin_Yang_and_Dan_Meng_and_Xin_Zhou_and_Heng_Fan_and_Libo_Zhang_2024, abstract = {A synthetic dataset for pedestrian tracking and Re-ID with highly accurate and rich labels of ids, 2D bounding box coordinates, and semantic attributes.}, author = {Yunhao Li and Zhen Xiao and Lin Yang and Dan Meng and Xin Zhou and Heng Fan and Libo Zhang}, doi = {10.57702/tkvq3163}, institution = {No Organization}, keyword = {'pedestrian tracking', 'person re-identification', 'semantic attributes'}, month = {dec}, publisher = {TIB}, title = {AttMOT}, url = {https://service.tib.eu/ldmservice/dataset/attmot}, year = {2024} }
