[PDF][PDF] Abnormality identification in video surveillance system using DCT
In the present world, video surveillance methods play a vital role in observing the activities
that take place across secured and unsecured environment. The main aim with which a …
that take place across secured and unsecured environment. The main aim with which a …
Parallel architecture for hierarchical optical flow estimation based on FPGA
The proposed work presents a highly parallel architecture for motion estimation. Our system
implements the well-known Lucas and Kanade algorithm with the multi-scale extension for …
implements the well-known Lucas and Kanade algorithm with the multi-scale extension for …
Abnormal event detection in tourism video based on salient spatio-temporal features and sparse combination learning
Y Geng, J Du, M Liang - World Wide Web, 2019 - Springer
With the booming development of tourism, travel security problems are becoming more and
more prominent. Congestion, stampedes, fights and other tourism emergency events …
more prominent. Congestion, stampedes, fights and other tourism emergency events …
A new system for event detection from video surveillance sequences
In this paper, we present an overview of a hybrid approach for event detection from video
surveillance sequences that has been developed within the REGIMVid project. This system …
surveillance sequences that has been developed within the REGIMVid project. This system …
Fuzzy logic based human activity recognition in video surveillance applications
Automatic fall detection using computer vision is a particular case for real time video
analysis, efficient in kindergartens. This paper is focused on the design and implementation …
analysis, efficient in kindergartens. This paper is focused on the design and implementation …
Tennis video shot classification based on support vector machine
H Jiang, M Zhang - 2011 IEEE International Conference on …, 2011 - ieeexplore.ieee.org
Video shot classification is one of the key technologies to achieve fast retrieval and browsing
video. A novel approach of tennis shot classification based on SVM is proposed. After …
video. A novel approach of tennis shot classification based on SVM is proposed. After …
An optimized higher order CRF for automated labeling and segmentation of video objects
J Jiang, X Song - IEEE Transactions on Circuits and Systems …, 2015 - ieeexplore.ieee.org
In this paper, we propose an optimized higher order conditional random field (CRF) labeling
approach toward automated video object segmentation. Our approach introduces a …
approach toward automated video object segmentation. Our approach introduces a …
Incremental learning approach for events detection from large video dataset
In this paper, we propose a strategy of multi-SVM incremental learning system based on
Learn++ classifier for detection of predefined events in the video. This strategy is offline and …
Learn++ classifier for detection of predefined events in the video. This strategy is offline and …
High throughput architecture for multiscale variational optical flow
Computation of high-quality Optical Flow (OF) for fast-moving objects in real time is still an
unsolved issue for High Definition (HD) images. The work proposes a novel hybrid hardware …
unsolved issue for High Definition (HD) images. The work proposes a novel hybrid hardware …
[图书][B] Vision-based fault detection in assembly automation
G Szkilnyk - 2012 - search.proquest.com
Production downtime caused by machine faults presents a major area of concern for the
manufacturing industry and can especially impact the productivity of assembly systems …
manufacturing industry and can especially impact the productivity of assembly systems …