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Event Detection and Classification in Video Surveillance Sequences [chapter]

Vasileios Chasanis, Aristidis Likas
2010 Lecture Notes in Computer Science  
In this paper, we present a system for event recognition and classification in video surveillance sequences.  ...  Numerical experiments indicate that the proposed approach provides high event detection and classification rates.  ...  Conclusions In this paper, we have presented a method for video event detection and classification in video surveillance sequences.  ... 
doi:10.1007/978-3-642-12842-4_35 fatcat:mh64iq72grhkbiezrv5ute76ky

A Street Scene Surveillance System for Moving Object Detection, Tracking and Classification

Huei-Yung Lin, Juang-Yu Wei
2007 IEEE Intelligent Vehicles Symposium  
The classification results are further used for event analysis and video retrieval of interested scenes.  ...  In addition to the capabilities of detection and tracking of moving objects, it is also able to recognize and classify the targets based on the walking rhythm.  ...  Li-Wei Kao for preparation of some test videos.  ... 
doi:10.1109/ivs.2007.4290260 fatcat:cc2gjawitvdorfglsjtq6ddzey

Automatic Motion Trajectory Analysis For Dual Human Interaction Using Video Sequences

Yuan-Hsiang Chang, Pin-Chi Lin, Li-Der Jeng
2015 Zenodo  
Using a database of 60 video sequences, our system could achieve the classification accuracy of 80% in interaction events and 95% in non-interaction events, respectively.  ...  Advance in techniques of image and video processing has enabled the development of intelligent video surveillance systems.  ...  In a database of 60 video sequences with 40 interaction events and 20 non-interaction events, our system could achieve the classification accuracy of 80% in interaction video sequences, and 95% in non-interaction  ... 
doi:10.5281/zenodo.1107249 fatcat:j26drpfovja4pniuc2lo7z3w7m

Motion Based Summarization and Grouping of Events for Video Surveillance System

L. Arun Raj, C. Thangapandian
2014 International Journal of Engineering Research  
Motion Based Summarization and Grouping of Events for Video Surveillance is one o f the approach for detecting dynamic and complex scenes in computer vision.  ...  It aims to automatically recognize and track people and objects from image sequences in order to understand and describe dynamics and interactions among them.  ...  They are Video Segmentation, Background Subtraction, Object Extraction, Object Detection, Event Classification and Grouping of events .  ... 
doi:10.17950/ijer/v3s4/417 fatcat:cbg2avpkvffcpksvyadkjylus4

Keyframe labeling technique for surveillance event classification

Ediz Şaykol
2010 Optical Engineering: The Journal of SPIE  
We propose a keyframe labeling technique, especially for indoor environments, which assigns labels to keyframes extracted by a keyframe detection algorithm, and hence transforms the input video to an event-sequence  ...  Automated access to the semantic content of surveillance videos to detect anomalous events is among the basic tasks; however, due to the high variability of the audio-visual features and large size of  ...  Surveillance Event Classification Providing a general solution to anomalous event detection in video surveillance is still an open research area.  ... 
doi:10.1117/1.3509270 fatcat:jpokbvzevvbt3agw6mprcd7bri

An aggregated deep convolutional recurrent model for event based surveillance video summarisation: A supervised approach

Sreeja M. U., Binsu C. Kovoor
2021 IET Computer Vision  
and classification.  ...  Accurate identification of abnormal events from surveillance footages is of paramount importance in surveillance video summarisation.  ...  Experiments are conducted for recognising multiple events in a given surveillance video by sequence to sequence network without object detection. Lu et al.  ... 
doi:10.1049/cvi2.12044 fatcat:fgjlijbcqffebgg54iyyhsn2nm

A Survey on Behavior Analysis in Video Surveillance Applications [chapter]

Teddy Ko
2011 Video Surveillance  
Most current automated video surveillance systems can process video sequence and perform almost all key low-level functions, such as motion detection and segmentation, object tracking, and object classification  ...  Visual (or video) surveillance devices have long been in use to gather information and to monitor people, events and activities.  ...  This book presents the latest achievements and developments in the field of video surveillance.  ... 
doi:10.5772/15302 fatcat:6rwp7wojzbegbggwaf3ahk3fdi

A Survey Of Activity Recognition And Understanding The Behavior In Video Survelliance [article]

A. R. Revathi, Dhananjay Kumar
2012 arXiv   pre-print
This paper presents a review of human activity recognition and behaviour understanding in video sequence.  ...  Visual surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving objects.  ...  The automated surveillance systems can be implemented for both offline like storing the video sequence and to analyse the information in that sequence.  ... 
arXiv:1207.6774v1 fatcat:zau7izoouffe7livk6zvxrn5sq

A study on video data mining

V. Vijayakumar, R. Nedunchezhian
2012 International Journal of Multimedia Information Retrieval  
It is widely used in many major potential applications like security and surveillance, entertainment, medicine, education programs and sports.  ...  Data mining is a process of extracting previously unknown knowledge and detecting the interesting patterns from a massive set of data.  ...  A hierarchical framework was used for soccer (football) video event sequence detection and classification.  ... 
doi:10.1007/s13735-012-0016-2 fatcat:xuuf3w3b2rfcxlyevzndz6v62e

Abnormality Detection Using LBP Features and K-Means Labelling based Feed-Forward Neural Network in Video Sequence

One of the objectives in video surveillance is the detection of normal and abnormal behavior.It has always been a challenge to accurately identify such events in any real time video sequence.  ...  Video surveillance is widely used in various domains like military, commercial and consumer areas.  ...  ACKNOWLEDGMENT This research is supported by Visvesvaraya PhD Scheme ofMinistry of Electronics and Information Technology, Government of India, being implemented by Digital IndiaCorporation.  ... 
doi:10.35940/ijitee.i1100.0789s19 fatcat:chkhinwjjjd7zojpqgpmgenf6y

Automatic surveillance analyzer using trajectory and body-based modeling

Weilun Lao, Jungong Han, Peter H.N. de With
2009 2009 Digest of Technical Papers International Conference on Consumer Electronics  
We propose a fast analyzer for surveillance video, which aims at automatic analysis of human behavior and semantic events.  ...  Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences.  ...  We focus on developing a robust surveillance system from monocular video sequences.  ... 
doi:10.1109/icce.2009.5012362 fatcat:x3rk4ij6onagzi4g5ivi2gohry

An Optimized CNN based Real World Anomaly Detection in Surveillance Videos

Anomaly detection in automated surveillance video is an extremely monotonous process for monitoring for crowded scenes and surveillance videos are capable to incarcerate a mixture of sensible anomalies  ...  The real-time ADS in surveillance video sequences using SAGA based CNN with MSER feature extraction technique is implemented using Image Processing Toolbox within Matlab Software.  ...  The proposed segmentation algorithm is experimented with several surveillances video for detecting and locating abnormal events in the video according to the frames.  ... 
doi:10.35940/ijitee.i1074.0789s19 fatcat:uiidfjjaffb3fblhy3o36mscde

Abnormal Event Detection using Additive Summarization Model for Intelligent Transportation Systems

G. Balamurugan, J. Jayabharathy
2022 International Journal of Advanced Computer Science and Applications  
The main issues in summarization arise from the inconsistency between the spatiotemporal redundancies and the classification of sequence verification in video surveillance.  ...  Video summarization plays a vital role in summarizing the keyframe for an abnormal event from the stacked video surveillance input.  ...  PROPOSED METHOD The proposed method intakes video inputs for analyzing its sequence and event detection.  ... 
doi:10.14569/ijacsa.2022.0130586 fatcat:m52ppvgfezhhlpcjvzliazm7bq

Visual traffic surveillance framework: classification to event detection

Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica Nicolescu
2013 Journal of Electronic Imaging (JEI)  
Traffic surveillance systems with the ability to detect, count, and classify vehicles can be employed in gathering traffic statistics and achieving better traffic control in intelligent transportation  ...  This information was later used in a search assistant tool to find interesting traffic events.  ...  , and event detection.  ... 
doi:10.1117/1.jei.22.4.041112 fatcat:j5asczqs5remplnggsdtlveoaa

Event detection in video using motion analysis

Ricardo Castellanos, Hari Kalva, Oge Marques, Borko Furht
2010 Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams - ARTEMIS '10  
The main objective of this work is the analysis of computer vision techniques and algorithms to perform automatic detection of specific events in video sequences.  ...  Large amount of video in surveillance and security requires systems capable of processing video to automatically detect and recognize events to alleviate the load on humans and enable preventive actions  ...  There can be a large variety of events to detect in surveillance videos.  ... 
doi:10.1145/1877868.1877884 dblp:conf/mm/CastellanosKMF10 fatcat:anzw4czpnfch7anusmu3ve2xg4
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