题名: |
Multi-Camera Monitoring of Human Activities at Critical Transportation Infrastructure Sites. |
作者: |
ribnick, e. joshi, a. j. papanikolopoulos, p. |
关键词: |
computer vision,cameras,monitoring,transportation areas/tracking, urban areas, detection, estimates, calibration, visual sureillance, parameters, kalman filtering, real time/ |
摘要: |
The goal of this work is to provide a system which can aid in monitoring crowded urban environments, which often contain tight groups of people. In this report, we consider the problem of counting the number of people in the scene and also tracking them reliably. We propose a novel method for detecting and estimating the count of people in groups, dense or otherwise, as well as tracking them. Using prior knowledge obtained from the scene and accurate camera calibration, the system learns the parameters required for estimation. This information can then be used to estimate the count of people in the scene, in real time. Groups are tracked in the same manner as individuals, using Kalman filtering techniques. Favorable results are shown for groups of various sizes moving in an unconstrained fashion. / NOTE: Final rept. / Availability Note: Product reproduced from digital image. Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA. |
报告类型: |
科技报告 |