计算机科学
跟踪(教育)
人工智能
图像(数学)
人群心理
众包
计算机视觉
机器学习
数据科学
心理学
教育学
作者
James Ferryman,Ali Shahrokni
标识
DOI:10.1109/pets-winter.2009.5399556
摘要
This paper describes the crowd image analysis challenge that forms part of the PETS 2009 workshop. The aim of this challenge is to use new or existing systems for i) crowd count and density estimation, ii) tracking of individual(s) within a crowd, and iii) detection of separate flows and specific crowd events, in a real-world environment. The dataset scenarios were filmed from multiple cameras and involve multiple actors.
科研通智能强力驱动
Strongly Powered by AbleSci AI