Simultaneous Detection and Tracking with Multiple Cameras

2013 ◽  
pp. 197-214
Author(s):  
Murtaza Taj ◽  
Andrea Cavallaro
Keyword(s):  
Simultaneous Detection ◽  
Multiple Cameras ◽  
Detection And Tracking

Simultaneous Detection and Tracking of Moving-Target Shadows in ViSAR Imagery

2020 ◽  
pp. 1-18 ◽  
Author(s):  
Xiaoqing Tian ◽  
Jing Liu ◽  
Mahendra Mallick ◽  
Kaiyu Huang
Keyword(s):  
Simultaneous Detection ◽  
Moving Target ◽  
Detection And Tracking

Line-Based Simultaneous Detection and Tracking of Triangles

2018 ◽  
Vol 31 (3) ◽  
pp. 04018013
Author(s):  
Fan Zhang ◽  
Panfeng Huang ◽  
Lu Chen ◽  
Jia Cai
Keyword(s):  
Simultaneous Detection ◽  
Detection And Tracking

scholarly journals Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking

2020 ◽  
pp. 626-643
Author(s):  
Shijie Sun ◽  
Naveed Akhtar ◽  
Xiangyu Song ◽  
Huansheng Song ◽  
Ajmal Mian ◽  
...  
Keyword(s):  
Object Tracking ◽  
Simultaneous Detection ◽  
Multiple Object Tracking ◽  
Detection And Tracking ◽  
Multiple Object

scholarly journals AUTOMATIC VEHICLE TRAJECTORY EXTRACTION FOR TRAFFIC ANALYSIS FROM AERIAL VIDEO DATA

2015 ◽  
Vol XL-3/W2 ◽  
pp. 9-15 ◽  
Author(s):  
J. Apeltauer ◽  
A. Babinec ◽  
D. Herman ◽  
T. Apeltauer
Keyword(s):  
Simultaneous Detection ◽  
Real Life ◽  
Traffic Analysis ◽  
Video Data ◽  
Aerial Images ◽  
Detection And Tracking ◽  
Vehicle Detection And Tracking ◽  
Sensing Platform ◽  
Aerial Vehicle ◽  
Vehicle Trajectory

This paper presents a new approach to simultaneous detection and tracking of vehicles moving through an intersection in aerial images acquired by an unmanned aerial vehicle (UAV). Detailed analysis of spatial and temporal utilization of an intersection is an important step for its design evaluation and further traffic inspection. Traffic flow at intersections is typically very dynamic and requires continuous and accurate monitoring systems. Conventional traffic surveillance relies on a set of fixed cameras or other detectors, requiring a high density of the said devices in order to monitor the intersection in its entirety and to provide data in sufficient quality. Alternatively, a UAV can be converted to a very agile and responsive mobile sensing platform for data collection from such large scenes. However, manual vehicle annotation in aerial images would involve tremendous effort. In this paper, the proposed combination of vehicle detection and tracking aims to tackle the problem of automatic traffic analysis at an intersection from visual data. The presented method has been evaluated in several real-life scenarios.

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