视频处理_IEEE跟踪和监控性能评估国际专题讨论会PETS)2002).pdfVIP

IEEE International Workshop on Performance Evaluation of Tracking and Surveillance(PETS)2002(IEEE 跟踪和监控性能评估 国际专题讨论会(PETS)2002) 数据摘要： PETS2002 consists of datasets for two distinct applications: - people tracking and counting - hand posture classification MOVING PEOPLE The datasets consists of people moving in front of a shop window. HAND POSTURE RECOGNITION The datasets consist of close-ups of hand postures in front of a uniform light, dark and complex backgrounds. The task is to perform hand posture classification. A protocol package is provided (see below) giving details about which data to use for training anf testing. 中文关键词： PETS2002,跟踪,监控,室内,手势, 英文关键词： PETS2001,tracking,surveillance,indoor,hand posture, 数据格式： VIDEO 数据用途： This dataset is for indoor people tracking (and counting) and hand posture classification data (annotated). 数据详细介绍： PETS2002 Datasets PETS2002 consists of datasets for two distinct applications: - people tracking and counting - hand posture classification MOVING PEOPLE The datasets consists of people moving in front of a shop window. The task is to determine: - how many people are passing in front of the shop window - how many people stop and look into the window - how many people are looking into the window at each instant (frame) in time - the trajectories of people passing in front of the store - the time spent per frame (processing time): a histogram of the microseconds spent processing each frame. It is recommended that these results (for test datasets 1, 2, and 3) are placed into graph(s)/table in the paper submission. The task is made difficult by: - the reflections from the ground and from the opposing window - occlusions from the text on the window - occluding groups of people walking together - occlusions among the people standing in front of the store The datasets are available under here The entire pe