A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets

GF Shidik, E Noersasongko, A Nugraha… - IEEE …, 2019 - ieeexplore.ieee.org
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

TPM: Multiple object tracking with tracklet-plane matching

J Peng, T Wang, W Lin, J Wang, J See, S Wen… - Pattern Recognition, 2020 - Elsevier
Multiple object tracking (MOT) aims to model the temporal relationship among detected
objects and associate them into trajectories. Thus, one major challenge of MOT lies in the …

An Overview of Multi-Object Estimation via Labeled Random Finite Set

BN Vo, BT Vo, TTD Nguyen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article presents the Labeled Random Finite Set (LRFS) framework for multi-object
systems-systems in which the number of objects and their states are unknown and vary …

Online multiple pedestrians tracking using deep temporal appearance matching association

YC Yoon, DY Kim, YM Song, K Yoon, M Jeon - Information Sciences, 2021 - Elsevier
In online multi-target tracking, modeling of appearance and geometric similarities between
pedestrians visual scenes is of great importance. The higher dimension of inherent …

[HTML][HTML] Detection confidence driven multi-object tracking to recover reliable tracks from unreliable detections

T Mandel, M Jimenez, E Risley, T Nammoto… - Pattern Recognition, 2023 - Elsevier
Multi-object tracking (MOT) systems often rely on accurate object detectors; however,
accurate detectors are not available in every application domain. We present Robust …

A Bayesian filter for multi-view 3D multi-object tracking with occlusion handling

J Ong, BT Vo, BN Vo, DY Kim… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper proposes an online multi-camera multi-object tracker that only requires
monocular detector training, independent of the multi-camera configurations, allowing …

Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets

L Van Ma, TTD Nguyen, C Shim, DY Kim, N Ha… - Pattern Recognition, 2024 - Elsevier
This paper proposes an online visual multi-object tracking (MOT) algorithm that resolves
object appearance–reappearance and occlusion. Our solution is based on the labeled …

Online multi-object tracking with gmphd filter and occlusion group management

YM Song, K Yoon, YC Yoon, KC Yow, M Jeon - IEEE access, 2019 - ieeexplore.ieee.org
In this paper, we propose an efficient online multi-object tracking method based on the
Gaussian mixture probability hypothesis density (GMPHD) filter and occlusion group …

Adaptive ROI generation for video object segmentation using reinforcement learning

M Sun, J Xiao, EG Lim, Y Xie, J Feng - Pattern Recognition, 2020 - Elsevier
The task of the proposed method is semi-supervised video object segmentation where only
the ground-truth segmentation of the first frame is provided. The existing approaches rely on …

Robust Poisson multi-Bernoulli mixture filter with unknown detection probability

G Li, L Kong, W Yi, X Li - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
This paper proposes a robust Poisson multi-Bernoulli mixture (R-PMBM) filter immune to the
unknown detection probability. In a majority of multi-object scenarios, the prior knowledge of …