Multiple object tracking: A literature review

W Luo, J **ng, A Milan, X Zhang, W Liu, TK Kim - Artificial intelligence, 2021 - Elsevier
Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …

Machine recognition of human activities: A survey

P Turaga, R Chellappa… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
The past decade has witnessed a rapid proliferation of video cameras in all walks of life and
has resulted in a tremendous explosion of video content. Several applications such as …

Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments

C Ionescu, D Papava, V Olaru… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
We introduce a new dataset, Human3. 6M, of 3.6 Million accurate 3D Human poses,
acquired by recording the performance of 5 female and 6 male subjects, under 4 different …

Vision-based human activity recognition: a survey

DR Beddiar, B Nini, M Sabokrou, A Hadid - Multimedia Tools and …, 2020 - Springer
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

[BOOK][B] Computer vision: algorithms and applications

R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Temporal segment networks for action recognition in videos

L Wang, Y **ong, Z Wang, Y Qiao, D Lin… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
We present a general and flexible video-level framework for learning action models in
videos. This method, called temporal segment network (TSN), aims to model long-range …

A survey on vision-based human action recognition

R Poppe - Image and vision computing, 2010 - Elsevier
Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …

3d human pose estimation= 2d pose estimation+ matching

CH Chen, D Ramanan - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
We explore 3D human pose estimation from a single RGB image. While many approaches
try to directly predict 3D pose from image measurements, we explore a simple architecture …

A survey of appearance models in visual object tracking

X Li, W Hu, C Shen, Z Zhang, A Dick… - ACM transactions on …, 2013 - dl.acm.org
Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …

Survey of pedestrian detection for advanced driver assistance systems

D Geronimo, AM Lopez, AD Sappa… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …