Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

Stať ve sborníku v databázi WoS či Scopus

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 areas. 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.

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 areas. 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.

traffic monitoring, vehicle detection, vehicle tracking, aerial imagery, UAV, particle filter

traffic monitoring, vehicle detection, vehicle tracking, aerial imagery, UAV, particle filter

APELTAUER, J.; HERMAN, D.; BABINEC, A.; APELTAUER, T.

2016

25.03.2015

International Society of Photogrammetry and Remote Sensing

Mnichov

ISPRS Archives

2194-9034

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

W2

XL-3

Spolková republika Německo

9

15

6

http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/9/2015/isprsarchives-XL-3-W2-9-2015.html

http://hdl.handle.net/11012/70252

isprsarchives-XL-3-W2-9-2015