Results 1 to 10 of about 11,032 (163)

Moving Object Detection for Video Surveillance [PDF]

The Scientific World Journal, 2015
The emergence of video surveillance is the most promising solution for people living independently in their home. Recently several contributions for video surveillance have been proposed.
K. Kalirajan, M. Sudha
doaj   +3 more sources

Video Object Detection Guided by Object Blur Evaluation [PDF]

IEEE Access, 2020
In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu, Hong Zhang, Yawei Li, Yifan Yang, Ding Yuan   +4 more
doaj   +2 more sources

Motion Vector Extrapolation for Video Object Detection

Journal of Imaging, 2023
Despite the continued successes of computationally efficient deep neural network architectures for video object detection, performance continually arrives at the great trilemma of speed versus accuracy versus computational resources (pick two).
Julian True, Naimul Khan
doaj   +4 more sources

Improving Token-Based Object Detection With Video

IEEE Access
This paper improves upon the Pix2Seq object detector by extending it for videos. In the process, it introduces a new way to perform end-to-end video object detection that improves upon existing video detectors in two key ways.
Abhineet Singh, Nilanjan Ray
doaj   +3 more sources

Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review

Micromachines, 2021
Video object and human action detection are applied in many fields, such as video surveillance, face recognition, etc. Video object detection includes object classification and object location within the frame.
Dengshan Li, Rujing Wang, Peng Chen, Chengjun Xie, Qiong Zhou, Xiufang Jia   +5 more
doaj   +1 more source

Video Sparse Transformer With Attention-Guided Memory for Video Object Detection

IEEE Access, 2022
Detecting objects in a video, known as Video Object Detection (VOD), is challenging since appearance changes of objects over time may bring detection errors.
Masato Fujitake, Akihiro Sugimoto
doaj   +1 more source

Survey of Video Object Detection Based on Deep Learning

Jisuanji kexue yu tansuo, 2021
Video object detection is to solve the problem of object localization and recognition in every video frame. Compared with image object detection, video is featured by high redundancy, which contains a lot of local spatio-temporal information.
WANG Dicong, BAI Chenshuai, WU Kaijun
doaj   +1 more source

Deep Learning Based Salient Object Detection in Infrared Video [PDF]

Jisuanji kexue, 2023
In the face of massive infrared video images with more and more complex background,the performance of the tradi-tional methods for salient object detection decreases significantly.In order to improve the performance of salient object detection in ...
ZHU Ye, HAO Yingguang, WANG Hongyu
doaj   +1 more source

Object Detection in Traffic Videos: A Survey

IEEE Transactions on Intelligent Transportation Systems, 2022
<p>Traffic video analytics has become one of the core components in the evolution of transportation systems. Artificially intelligent traffic management systems apply computer vision techniques to alleviate the monotony of manually monitoring the video feed from surveillance cameras.
Hadi Ghahremannezhad, Hang Shi, Chengjun Liu   +2 more
openaire   +1 more source

Object Detection-Based Video Compression

Applied Sciences, 2022
Video compression is designed to provide good subjective image quality, even at a high-compression ratio. In addition, video quality metrics have been used to show the results can maintain a high Peak Signal-to-Noise Ratio (PSNR), even at high ...
Myung-Jun Kim, Yung-Lyul Lee
doaj   +1 more source