Results 21 to 30 of about 347,026 (234)

Online Object Tracking with Proposal Selection [PDF]

, 2015
Tracking-by-detection approaches are some of the most successful object trackers in recent years. Their success is largely determined by the detector model they learn initially and then update over time.
Alahari, Karteek, Hua, Yang, Schmid, Cordelia   +2 more
core   +6 more sources

Generalized Kernel-based Visual Tracking [PDF]

, 2009
In this work we generalize the plain MS trackers and attempt to overcome standard mean shift trackers' two limitations. It is well known that modeling and maintaining a representation of a target object is an important component of a successful visual ...
Kim, Junae, Shen, Chunhua, Wang, Hanzi
core   +4 more sources

Thermo-visual feature fusion for object tracking using multiple spatiogram trackers [PDF]

, 2007
In this paper, we propose a framework that can efficiently combine features for robust tracking based on fusing the outputs of multiple spatiogram trackers. This is achieved without the exponential increase in storage and processing that other multimodal
Alan Smeaton, C. Yang, Ciarán Ó Conaire, D. Comaniciu, G. Fumera, M. Spengler, Noel E. O’Connor, P. Pérez, R.E. Bellman, R.T. Collins, V. Comaniciu, W. Abd-Almageed   +11 more
core   +1 more source

Comparative Object Similarity Learning-Based Robust Visual Tracking

IEEE Access, 2019
Tracking-by-detection for visual object tracking is the most popular and successful framework at present. It treats the tracking problem as a classification task and learns information about the target from each tracking result online.
Weiming Yang, Yuliang Liu, Quan Zhang, Yelong Zheng   +3 more
doaj   +1 more source

A Novel Low-cost FPGA-based Real-time Object Tracking System

, 2017
In current visual object tracking system, the CPU or GPU-based visual object tracking systems have high computational cost and consume a prohibitive amount of power.
Gao, Peng, Lin, Zhicong, Yuan, Ruyue, Zhang, Linsheng, Zhang, Yan   +4 more
core   +1 more source

Conditional random field tracking model based on a visual long short term memory network

Journal of Electronic Science and Technology, 2020
In dense pedestrian tracking, frequent object occlusions and close distances between objects cause difficulty when accurately estimating object trajectories.
Pei-Xin Liu, Zhao-Sheng Zhu, Xiao-Feng Ye, Xiao-Feng Li   +3 more
doaj   +1 more source

A Review of Deep Learning-Based Visual Multi-Object Tracking Algorithms for Autonomous Driving

Applied Sciences, 2022
Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms have evolved in recent years as a result of deep learning’s outstanding ...
Shuman Guo, Shichang Wang, Zhenzhong Yang, Lijun Wang, Huawei Zhang, Pengyan Guo, Yuguo Gao, Junkai Guo   +7 more
doaj   +1 more source

Online Metric-Weighted Linear Representations for Robust Visual Tracking

, 2015
In this paper, we propose a visual tracker based on a metric-weighted linear representation of appearance. In order to capture the interdependence of different feature dimensions, we develop two online distance metric learning methods using proximity ...
Dick, Anthony, Li, Xi, Shen, Chunhua, Zhang, Zhongfei, Zhuang, Yueting   +4 more
core   +1 more source

Confidence-Guided Frame Skipping to Enhance Object Tracking Speed

Sensors
Object tracking is a challenging task in computer vision. While simple tracking methods offer fast speeds, they often fail to track targets. To address this issue, traditional methods typically rely on complex algorithms.
Yun Gu Lee
doaj   +1 more source

Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update [PDF]

, 2016
Appearance representation and the observation model are the most important components in designing a robust visual tracking algorithm for video-based sensors.
Gao, Changxin, Sang, Nong, Shi, Huizhang, Yu, Jin-Gang   +3 more
core   +3 more sources