Results 71 to 80 of about 11,032 (163)
Probabilistic, Features-Based Object Recognition [PDF]
, 2008 Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
core +1 more source
A framework for event detection in field-sports video broadcasts based on SVM generated audio-visual feature model. Case-study: soccer video [PDF]
, 2004 In this paper we propose a novel audio-visual feature-based framework, for event detection in field sports broadcast video. The system is evaluated via a case-study involving MPEG encoded soccer video.
Murphy, Noel +4 more
core
Video Synopsis Based on Attention Mechanism and Local Transparent Processing
IEEE Access, 2020 The increased number of video cameras makes an explosive growth in the amount of captured video, especially the increase of millions of surveillance cameras that operate 24 hours a day.
Shengbo Chen +4 more
doaj +1 more source
Recurrent Neural Networks for video object detection
CoRR, 2020 There is lots of scientific work about object detection in images. For many applications like for example autonomous driving the actual data on which classification has to be done are videos. This work compares different methods, especially those which use Recurrent Neural Networks to detect objects in videos.
Ahmad Bin Qasim, Arnd Pettirsch
openaire +2 more sources
Methods and Algorithms for Detecting Objects in Video Files
MATEC Web of Conferences, 2018 Video files are files that store motion pictures and sounds like in real life. In today's world, the need for automated processing of information in video files is increasing.
Nguyen The Cuong, Shashev Dmitry
doaj +1 more source
Fast human detection for video event recognition
, 2009 Human body detection, which has become a research hotspot during the last two years, can be used in many video content analysis applications. This paper investigates a fast human detection method for volume based video event detection.
Wang, J, Xu, Zhijie, Hoder, M.E.
core
Human behavioural analysis with self-organizing map for ambient assisted living [PDF]
, 2014 This paper presents a system for automatically classifying the resting location of a moving object in an indoor environment. The system uses an unsupervised neural network (Self Organising Feature Map) fully implemented on a low-cost, low-power automated
Hunter, A +9 more
core +1 more source
Deep Convolutional Neural Network for Robust Detection of Object-Based Forgeries in Advanced Video
IEEE AccessVideo forgery detection is a critical aspect of digital forensics, addressing the challenges posed by the manipulation of video content. This paper presents a novel approach for video forgery detection using Deep Convolutional Neural Networks (DCNN ...
Ahmad A. Mazhar +6 more
doaj +1 more source
, 2011 Three-dimensional television (3D-TV) has gained increasing popularity in the broadcasting domain, as it enables enhanced viewing experiences in comparison to conventional two-dimensional (2D) TV.
Yue Feng +8 more
core +1 more source
A 3D extension to cortex like mechanisms for 3D object class recognition [PDF]
, 2012 We introduce a novel 3D extension to the hierarchical visual cortex model used for prior work in 2D object recognition. Prior work on the use of the visual cortex standard model for the explicit task of object class recognition has solely concentrated on
Flitton, G. +8 more
core +1 more source