Group Structure Preserving Pedestrian Tracking in a Multi-Camera Video Network
نویسندگان
چکیده
منابع مشابه
Pedestrians Tracking in a Camera Network
With the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. Therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. Tracking people as they move through a camera network with non-overlapping field...
متن کاملAnalysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network
For tracking systems consisting of multiple cameras with overlapping field-of-views, homography-based approaches are widely adopted to significantly reduce occlusions among pedestrians by sharing information among multiple views. However, in these approaches, the usage of information under real-world coordinates is only at a preliminary level. Therefore, in this paper, a multi-camera tracking s...
متن کاملPedestrians Tracking in a Camera Network
With the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. Therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. Tracking people as they move through a camera network with non-overlapping field...
متن کاملpedestrians tracking in a camera network
with the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. tracking people as they move through a camera network with non-overlapping field...
متن کاملMulti-camera Pedestrian Detection with Multi-view Bayesian Network Model
In this paper, we propose a novel method with the multi-view Bayesian network (MBN) model to detect pedestrians from multi-camera surveillance videos. In our method, the ground plane is discretized in a predefined set of locations and our aim is to estimate the occupancy probability of each location that can be then used to predict the occurrence of pedestrians. To reduce the possible phantoms,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2016
ISSN: 1051-8215,1558-2205
DOI: 10.1109/tcsvt.2016.2565998