Results 41 to 50 of about 11,032 (163)

Insignificant shadow detection for video segmentation

, 2005
To prevent moving cast shadows from being misunderstood as part of moving objects in change detection based video segmentation, this paper proposes a novel approach to the cast shadow detection based on the edge and region information in multiple frames.
Tang, X., Jianzhuang Liu, Li, Xuelong, Liu, Z., Xu, Dong, Liu, Jianzhuang, Liu, Zhengkai, Xiaoou Tang, Xu, D., Zhengkai Liu, Dong Xu, Liu, J., Tang, Xiaoou, Senior Member, Xuelong Li   +14 more
core   +1 more source

Airport small object detection based on feature enhancement

IET Image Processing, 2022
Video object detection is essential for airport surface surveillance, but the objects on the scene are mostly small objects with low resolution, they have no obvious feature information. Due to the scale differences of the objects and the fixed receptive
Xuan Zhu, Binbin Liang, Daoyong Fu, Guoxin Huang, Fan Yang, Wei Li   +5 more
doaj   +1 more source

Evaluation of automatic shot boundary detection on a large video test suite [PDF]

, 1999
The challenge facing the indexing of digital video information in order to support browsing and retrieval by users, is to design systems that can accurately and automatically process large amounts of heterogeneous video.
Sean Marlow, Murphy, Noel, O'Toole, Colin, Marlow, Seán, O\u27Toole, Colin, Smeaton, Alan F., Noel B Murphy, Alan F. Smeaton, Colin O’Toole   +8 more
core   +1 more source

Automatic Image Self-Enhancement for Multi-Scale Spectral on Low Resolution Video

Jurnal Ilmu Komputer dan Informasi, 2021
MSR technique is a process used to reduce the search area in an image. MSR relies heavily on image salience from image capture devices. The purpose of this study is to improve the detection of people's objects on video by increasing the quality of the ...
Arwin Halim, Sunaryo Winardi, Erlina Halim   +2 more
doaj   +1 more source

Multispectral object segmentation and retrieval in surveillance video [PDF]

, 2006
This paper describes a system for object segmentation and feature extraction for surveillance video. Segmentation is performed by a dynamic vision system that fuses information from thermal infrared video with standard CCTV video in order to detect and ...
Ó Conaire, Ciarán, O'Connor, Noel E., N. E. O'Connor, A. F. Smeaton, C. O Conaire, Cooke, Eddie, Smeaton, Alan F., E. Cooke, O\u27Connor, Noel E.   +8 more
core   +1 more source

Kinematic 3D Object Detection in Monocular Video [PDF]

, 2020
Perceiving the physical world in 3D is fundamental for self-driving applications. Although temporal motion is an invaluable resource to human vision for detection, tracking, and depth perception, such features have not been thoroughly utilized in modern 3D object detectors.
Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu 0002, Bernt Schiele   +3 more
openaire   +2 more sources

Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction

, 2004
The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an ...
Ebrahimi Touradj, Andrea Cavallaro, Cavallaro, A, Ebrahimi, T, Touradj Ebrahimi, Cavallaro Andrea   +5 more
core   +1 more source

Object detection in video summarization for video surveillance applications [PDF]

Yugoslav Journal of Operations Research
For effective Data Extraction (DE) and Data Analysis (DA), the constant flow of visual information offers unique techniques in the Video Surveillance (VS) domain.
Inayathulla Mohammed, Karthikeyan C.
doaj   +1 more source

Detection and tracking of objects in underwater video

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
For oceanographic research, remotely operated underwater vehicles (ROVs) routinely record several hours of video material each day. Manual processing of such large amounts of video has become a major bottleneck for scientific research based on this data.
Walther, Dirk, Edgington, Duane R., Koch, Christof   +2 more
openaire   +3 more sources

Object-aware Feature Aggregation for Video Object Detection

CoRR, 2020
We present an Object-aware Feature Aggregation (OFA) module for video object detection (VID). Our approach is motivated by the intriguing property that video-level object-aware knowledge can be employed as a powerful semantic prior to help object recognition.
Qichuan Geng, Hong Zhang 0009, Na Jiang, Xiaojuan Qi 0001, Liangjun Zhang, Zhong Zhou   +5 more
openaire   +2 more sources