A multi-view model for visual tracking via correlation filters

X Li, Q Liu, Z He, H Wang, C Zhang… - Knowledge-Based Systems, 2016 - Elsevier
Robustness and efficiency are the two main goals of existing trackers. Most robust trackers
are implemented with combined features or models accompanied with a high computational …

A survey on multiple object tracking algorithm

L Fan, Z Wang, B Cail, C Tao, Z Zhang… - … on Information and …, 2016 - ieeexplore.ieee.org
Visual Multiple Object Tracking (VMOT) is an important computer vision task which has
gained increasing attention due to its academic and commercial potential. There are many …

AIPT: Adaptive information perception for online multi-object tracking

Y Zhang, H Xie, Y Jia, J Meng, M Sang, J Qiu… - Knowledge-Based …, 2024 - Elsevier
Abstract Information perception is crucial in MOT tasks. Recent approaches use positional,
motion, and appearance information to model object states. However, in scenes involving …

Particle filter re-detection for visual tracking via correlation filters

D Yuan, X Lu, D Li, Y Liang, X Zhang - Multimedia Tools and Applications, 2019 - Springer
Most of the correlation filter based tracking algorithms can achieve good performance and
maintain fast computational speed. However, in some complicated tracking scenes, there is …

Porchlight: A tag-based approach to bug triaging

G Bortis, A Van Der Hoek - 2013 35th International Conference …, 2013 - ieeexplore.ieee.org
Bug triaging is an important activity in any software development project. It involves
developers working through the set of unassigned bugs, determining for each of the bugs …

An improved CNN framework for detecting and tracking human body in unconstraint environment

N Kumar, N Sukavanam - Knowledge-Based Systems, 2020 - Elsevier
Human tracking and localization play a crucial role in many applications like accident
avoidance, action recognition, safety and security, surveillance and crowd analysis. Inspired …

Multiple pedestrian tracking by combining particle filter and network flow model

Y Cui, J Zhang, Z He, J Hu - Neurocomputing, 2019 - Elsevier
A novel network flow model is proposed for multiple pedestrian tracking in this paper. Based
on tracklets, only a short and reliable detection sequence is needed for effective tracking …

Multi-target tracking by non-linear motion patterns based on hierarchical network flows

W Lu, Z Zhou, L Zhang, G Zheng - Multimedia Systems, 2019 - Springer
We propose a multi-target tracking method for pedestrians, through locating them and
maintaining their identities to make their individual trajectories. In most existing data …

Radar error calculation and correction system based on ADS-B and business intelligent tools

JAF Zuluaga, JFV Bonilla, JDO Pabon… - 2018 International …, 2018 - ieeexplore.ieee.org
With the growth of air transport, the air traffic control needs to enforce the Communication
navigation surveillance air traffic management (CNS-ATM) because this is the back bone of …

Reinforcement learning-based data association for multiple target tracking in clutter

C Qu, Y Zhang, X Zhang, Y Yang - Sensors, 2020 - mdpi.com
Data association is a crucial component of multiple target tracking, in which each
measurement obtained by the sensor can be determined whether it belongs to the target …