Detection of violent behavior using neural networks and pose estimation

KB Kwan-Loo, JC Ortíz-Bayliss… - IEEE …, 2022 - ieeexplore.ieee.org
Regarding safety and security, felonies and crimes with physical violence remain a
significant problem worldwide. Some solutions for pedestrian safety are guards, police car …

Multi-Stream 3D latent feature clustering for abnormality detection in videos

M Asad, H Jiang, J Yang, E Tu, AA Malik - Applied Intelligence, 2022 - Springer
Detection of abnormal behavior in surveillance videos is essential for public safety and
monitoring. However, it needs constant human focus and attention for human-based …

An efficient algorithm for human abnormal behaviour detection using object detection and pose estimation

V Narang, A Solanki - The Fifth International Conference on Safety and …, 2022 - Springer
This paper presents a novel approach to detect and recognize human behaviour. The
primary purpose of this work is to demonstrate the detection of abnormal behaviour within …

iSurveillance: Intelligent framework for multiple events detection in surveillance videos

MK Lim, S Tang, CS Chan - Expert Systems with Applications, 2014 - Elsevier
Research in the video surveillance is gaining more popularity due to its widespread
applications as well as social impact. In this paper, we present an intelligent framework for …

Informedia@ trecvid 2010

H Li, L Bao, A Overwijk, W Liu, LF Zhang, SI Yu… - 2010 - kilthub.cmu.edu
The Informedia group participated in four tasks this year, including Semantic indexing,
Known-item search, Surveillance event detection and Event detection in Internet multimedia …

Complex event detection by identifying reliable shots from untrimmed videos

H Fan, X Chang, D Cheng, Y Yang… - Proceedings of the …, 2017 - openaccess.thecvf.com
The goal of complex event detection is to automatically detect whether an event of interest
happens in temporally untrimmed long videos which usually consist of multiple video shots …

Two-stream small-scale pedestrian detection network with feature aggregation for drone-view videos

H Xie, H Shin - Multidimensional Systems and Signal Processing, 2021 - Springer
Detecting small-scale pedestrians in aerial images is a challenging task that can be difficult
even for humans. Observing that the single image based method cannot achieve robust …

Semantic pooling for complex event detection

Q Yu, J Liu, H Cheng, A Divakaran… - Proceedings of the 21st …, 2013 - dl.acm.org
Complex event detection is very challenging in open source such as You-Tube videos,
which usually comprise very diverse visual contents involving various object, scene and …

E-detector: asynchronous spatio-temporal for event-based object detection in intelligent transportation system

S Zhang, W Wang, H Li, S Zhang - ACM Transactions on Multimedia …, 2023 - dl.acm.org
In intelligent transportation systems, various sensors, including radar and conventional
frame cameras, are used to improve system robustness in various challenging scenarios. An …

LSTM-based multi-label video event detection

AA Liu, Z Shao, Y Wong, J Li, YT Su… - Multimedia Tools and …, 2019 - Springer
Since large-scale surveillance videos always contain complex visual events, how to
generate video descriptions effectively and efficiently without human supervision has …