Real-time traffic flow parameter estimation from UAV video based on ensemble classifier and optical flow

R Ke, Z Li, J Tang, Z Pan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Recently, the availability of unmanned aerial vehicle (UAV) opens up new opportunities for
smart transportation applications, such as automatic traffic data collection. In such a trend …

Real-time bidirectional traffic flow parameter estimation from aerial videos

R Ke, Z Li, S Kim, J Ash, Z Cui… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are gaining popularity in traffic monitoring due to their low
cost, high flexibility, and wide view range. Traffic flow parameters such as speed, density …

Abnormal detection using interaction energy potentials

X Cui, Q Liu, M Gao, DN Metaxas - CVPR 2011, 2011 - ieeexplore.ieee.org
A new method is proposed to detect abnormal behaviors in human group activities. This
approach effectively models group activities based on social behavior analysis. Different …

A review of motion analysis methods for human nonverbal communication computing

D Metaxas, S Zhang - Image and Vision Computing, 2013 - Elsevier
Human Nonverbal Communication Computing aims to investigate how people exploit
nonverbal aspects of their communication to coordinate their activities and social …

TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems

B Benjdira, A Koubaa, AT Azar, Z Khan… - … Applications of Artificial …, 2022 - Elsevier
Smart traffic engineering and intelligent transportation services are in increasing demand
from governmental authorities to optimize traffic performance and thus reduce energy costs …

Vehicle detection and motion analysis in low-altitude airborne video under urban environment

X Cao, C Wu, J Lan, P Yan, X Li - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Visual surveillance from low-altitude airborne platforms plays a key role in urban traffic
surveillance. Moving vehicle detection and motion analysis are very important for such a …

[PDF][PDF] Motion pattern extraction and event detection for automatic visual surveillance

Y Benabbas, N Ihaddadene, C Djeraba - EURASIP Journal on Image and …, 2010 - Springer
Efficient analysis of human behavior in video surveillance scenes is a very challenging
problem. Most traditional approaches fail when applied in real conditions and contexts like …

Persistent aerial tracking system for UAVs

M Mueller, G Sharma, N Smith… - 2016 IEEE/RSJ …, 2016 - ieeexplore.ieee.org
In this paper, we propose a persistent, robust and autonomous object tracking system for
unmanned aerial vehicles (UAVs) called Persistent Aerial Tracking (PAT). A computer vision …

Context-driven moving vehicle detection in wide area motion imagery

X Shi, H Ling, E Blasch, W Hu - Proceedings of the 21st …, 2012 - ieeexplore.ieee.org
Detection of moving vehicles in wide area motion imagery (WAMI) is increasingly important,
with promising applications in surveillance, traffic scene understanding and public service …

[HTML][HTML] Moving object detection in aerial video based on spatiotemporal saliency

H Shen, S Li, C Zhu, H Chang, J Zhang - Chinese Journal of Aeronautics, 2013 - Elsevier
In this paper, the problem of moving object detection in aerial video is addressed. While
motion cues have been extensively exploited in the literature, how to use spatial information …