Results 41 to 50 of about 6,103,782 (279)

Detection of object throwing behavior in surveillance videos

Electronic Imaging, 2023
Anomalous behavior detection is a challenging research area within computer vision. Progress in this area enables automated detection of dangerous behavior using surveillance camera feeds. A dangerous behavior that is often overlooked in other research is the throwing action in traffic flow, which is one of the unique requirements of our Smart City ...
Kersten, Ivo, Akdag, Erkut, Bondarau, Egor, de With, Peter H.N.   +3 more
openaire   +4 more sources

Object Detection in Videos by High Quality Object Linking [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Compared with object detection in static images, object detection in videos is more challenging due to degraded image qualities. An effective way to address this problem is to exploit temporal contexts by linking the same object across video to form tubelets and aggregating classification scores in the tubelets.
Peng Tang 0005, Chunyu Wang 0001, Xinggang Wang, Wenyu Liu 0001, Wenjun Zeng 0001, Jingdong Wang 0001   +5 more
openaire   +3 more sources

Fast-D: When Non-Smoothing Color Feature Meets Moving Object Detection in Real-Time

IEEE Access, 2020
The moving object detection refers to the detection of physical moving objects from a video, which is applied in video surveillance, object recognition, object counting, human-computer interaction, and so on.
Md. Alamgir Hossain, Md. Imtiaz Hossain, Md. Delowar Hossain, Ngo Thien Thu, Eui-Nam Huh   +4 more
doaj   +1 more source

Video object detection from one single image through opto-electronic neural network

APL Photonics, 2021
An opto-electronic neural network is designed for video object detection from a long-exposure blurred image. This network combines an optical encoder, convolutional neural network decoder, and object detection module, which are jointly optimized end-to ...
Chengyang Hu, Honghao Huang, Minghua Chen, Sigang Yang, Hongwei Chen   +4 more
doaj   +1 more source

Impression Network for Video Object Detection

CoRR, 2017
Video object detection is more challenging compared to image object detection. Previous works proved that applying object detector frame by frame is not only slow but also inaccurate. Visual clues get weakened by defocus and motion blur, causing failure on corresponding frames.
Congrui Hetang, Hongwei Qin, Shaohui Liu, Junjie Yan   +3 more
openaire   +3 more sources

Shadow Detection Based on Regions of Light Sources for Object Extraction in Nighttime Video

Sensors, 2017
Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection.
Gil-beom Lee, Myeong-jin Lee, Woo-Kyung Lee, Joo-heon Park, Tae-Hwan Kim   +4 more
doaj   +1 more source

Automatic Detection of Moving Objects in Video Surveillance [PDF]

2016 Global Summit on Computer & Information Technology (GSCIT), 2016
This work is in the field of video surveillance including motion detection. The video surveillance is one of essential techniques for automatic video analysis to extract crucial information or relevant scenes in video surveillance systems. The aim of our work is to propose solutions for the automatic detection of moving objects in real time with a ...
Larbi Guezouli, Hanane Belhani
openaire   +4 more sources

VIDEO FRAME OBJECT DETECTION IN MULTIMEDIA APPLICATIONS USING GENERATIVE ADVERSARIAL NETWORK [PDF]

ICTACT Journal on Image and Video Processing
Multimedia applications, particularly video analytics, demand robust and accurate object detection mechanisms to manage the ever- increasing volume and complexity of video data.
H.C. Kantharaju, Vatsala Anand
doaj   +1 more source

Computational Intelligence-Based Harmony Search Algorithm for Real-Time Object Detection and Tracking in Video Surveillance Systems

Mathematics, 2022
Recently, video surveillance systems have gained significant interest in several application areas. The examination of video sequences for the detection and tracking of objects remains a major issue in the field of image processing and computer vision ...
Maged Faihan Alotaibi, Mohamed Omri, Sayed Abdel-Khalek, Eied Khalil, Romany F. Mansour   +4 more
doaj   +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