Results 21 to 30 of about 443,413 (287)

Feature Descriptors for Tracking by Detection: a Benchmark

CoRR, 2016
In this paper, we provide an extensive evaluation of the performance of local descriptors for tracking applications. Many different descriptors have been proposed in the literature for a wide range of application in computer vision such as object recognition and 3D reconstruction. More recently, due to fast key-point detectors, local image features can
Alessandro Pieropan, Mårten Björkman, Niklas Bergström, Danica Kragic   +3 more
openaire   +2 more sources

A Real-Time Vessel Detection and Tracking System Based on LiDAR

Sensors, 2023
Vessel detection and tracking is of utmost importance to river traffic. Efficient detection and tracking technology offer an effective solution to address challenges related to river traffic safety and congestion. Traditional image-based object detection
Liangjian Qi, Lei Huang, Yi Zhang, Yue Chen, Jianhua Wang, Xiaoqian Zhang   +5 more
doaj   +1 more source

Detection and Tracking Method of Floating Objects on Water Surface Based on Improved SSD Model and Adaptive Filtering Algorithm

工程科学与技术, 2023
The floating objects on water surfaces seriously damage river landscapes and water ecological environments. However, due to the complex and diverse river environments, there are many noise problems such as water wave disturbance, dynamic light and shadow,
Renfei CHEN, Yong PENG, Jian WU, Yu LI, Tingxiu YUE   +4 more
doaj  

Multi-cue Facial Feature Detection and Tracking [PDF]

, 2008
An efficient and robust facial feature detection and tracking system is presented in this paper. The system is capable of locating a human face automatically. Six facial feature points (pupils, nostrils and mouth corners) are detected and tracked using multiple cues including facial feature intensity and its probability distribution, geometric ...
Jingying Chen, Bernard Tiddeman
openaire   +1 more source

Human Detection And Tracking Through Temporal Feature Recognition [PDF]

, 2014
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
Coutts, Fraser K., Marshall, Stephen, Murray, Paul   +2 more
openaire   +4 more sources

Research on Multi-Ship Target Detection and Tracking Method Based on Camera in Complex Scenes

Journal of Marine Science and Engineering, 2022
Aiming at the problem that multi-ship target detection and tracking based on cameras is difficult to meet the accuracy and speed requirements at the same time in some complex scenes, an improved YOLOv4 algorithm is proposed, which simplified the network ...
Xiaobin Hong, Bin Cui, Weiguo Chen, Yinhui Rao, Yuanming Chen   +4 more
doaj   +1 more source

On the use of feature tracks for dynamic concept detection in video [PDF]

2010 IEEE International Conference on Image Processing, 2010
This paper proposes the use of feature tracks for the detection of concepts in video, particularly dynamic concepts. Feature tracks are defined as sets of local interest points found in different frames of a video shot that exhibit spatio-temporal and visual continuity, defining a trajectory in the 2D+Time space.
Mezaris V., Dimou A., Kompatsiaris I.
openaire   +1 more source

Robust PMBM Filter with Unknown Detection Probability Based on Feature Estimation

Sensors, 2022
This paper provides a solution for multi-target tracking with unknown detection probability. For the standard Poisson Multi-Bernoulli Mixture (PMBM) filter, the detection probability is generally considered a priori.
Yi Wang, Peng Rao, Xin Chen
doaj   +1 more source

Solar Magnetic Feature Detection and Tracking for Space Weather Monitoring

, 2010
We present an automated system for detecting, tracking, and cataloging emerging active regions throughout their evolution and decay using SOHO Michelson Doppler Interferometer (MDI) magnetograms.
Carrington, Colak, Colak, Conlon, D.S. Bloomfield, Falconer, Gallagher, Georgoulis, Hagenar, Hewett, Howard, LaBonte, Liu, McAteer, McAteer, McAteer, McIntosh, Moon, P.A. Higgins, P.T. Gallagher, Qahwaji, R.T.J. McAteer, Sammis, Scherrer, Schrijver, Wang, Welsch, Wheatland, Zharkova, Zharkova   +29 more
core   +1 more source

Multi-Object Tracking Algorithm for Unmanned Vehicle Autonomous Driving Scene Based on Online Spatiotemporal Feature Correlation

IEEE Access
Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned vehicle autonomous driving, a multi-object tracking algorithm based on ...
Haijun Li, Zhuye Xu, Changxi Ma, Xiao Tang   +3 more
doaj   +1 more source