Results 101 to 110 of about 11,032 (163)

The Físchlár digital video recording, analysis, and browsing system [PDF]

, 2000
In digital video indexing research area an important technique is called shot boundary detection which automatically segments long video material into camera shots using content-based analysis of video.
Murphy, Noel, O'Connor, Noel E., O'Toole, Colin, Marlow, Seán, O\u27Toole, Colin, Smeaton, Alan F., Lee, Hyowon, O\u27Connor, Noel E.   +7 more
core  

Real-time people and vehicle detection from UAV imagery [PDF]

, 2011
A generic and robust approach for the real-time detection of people and vehicles from an Unmanned Aerial Vehicle(UAV) is an important goal within the framework of fully autonomous UAV deployment for aerial reconnaissance andsurveillance.
Anna Gaszczak, Gaszczak, A., Breckon, Toby P., Han, Jiwan, Han, J., Breckon, T.P., Jiwan Han, Gaszczak, Anna, Toby P. Breckon   +8 more
core   +1 more source

Space Object Detection in Video Satellite Images Using Motion Information

International Journal of Aerospace Engineering, 2017
Compared to ground-based observation, space-based observation is an effective approach to catalog and monitor increasing space objects. In this paper, space object detection in a video satellite image with star image background is studied.
Xueyang Zhang, Junhua Xiang, Yulin Zhang
doaj   +1 more source

Anti-social behavior detection in audio-visual surveillance systems [PDF]

, 2009
In this paper we propose a general purpose framework for detection of unusual events. The proposed system is based on the unsupervised method for unusual scene detection in web{cam images that was introduced in [1].
Ó Conaire, Ciarán, O'Connor, Noel E., Xu, Li-Qun, Kelly, Philip, Kuklyte, Jogile, O\u27Connor, Noel E.   +5 more
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Automatic object detection based on adaptive background subtraction using symmetric alpha stable distribution [PDF]

, 2008
Automatic detection of objects is critical to video tracking systems. One of the simplest techniques for detection is background subtraction (BS). BS refers to the process of segmenting moving regions from image sequences.
Bhaskar, H., Maskell, S., Mihaylova, L.
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Video Display Improvement by Using Collaborative Edge Devices with YOLOv11

Applied Sciences
Efficient human detection in video streams is essential for various IoT applications, including surveillance, smart cities, intelligent transportation systems (ITSs), and industrial automation.
Byoungkug Kim, Soohyun Wang, Jaeho Lee
doaj   +1 more source

Video content analysis for automated detection and tracking of humans in CCTV surveillance applications

, 2010
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The problems of achieving high detection rate with low false alarm rate for human detection and tracking in video sequence, performance scalability, and ...
Tawiah, Thomas Andzi-Quainoo
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Activity understanding and unusual event detection in surveillance videos

, 2010
PhDComputer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems.
Loy, Chen Change
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Video stream analysis in clouds: An object detection and classification framework for high performance video analytics

, 2016
Email\ud Print\ud Request Permissions\ud Object detection and classification are the basic tasks in video analytics and become the starting point for other complex applications. Traditional video analytics approaches are manual and time consuming.
M Fahim Tariq (9074570), Yusuf Baltaci (9074573), Baltaci, Yusuf, Anjum, Ashiq, Tariq, M., Abdullah, Tariq, Antonopoulos, Nick, Tariq, M. Fahim, Ashiq Anjum (9074555), Nick Antonopoulos (8288232), Tariq Abdullah (9074567), Antonopoulos, Nikolaos   +11 more
core   +1 more source

Image convolution techniques integrated with YOLOv3 algorithm in motion object data filtering and detection

Scientific Reports
In order to address the challenges of identifying, detecting, and tracking moving objects in video surveillance, this paper emphasizes image-based dynamic entity detection.
Mai Cheng, Mengyuan Liu
doaj   +1 more source