Results 21 to 30 of about 41,400 (259)

Few-Shot Video Object Detection

, 2022
We introduce Few-Shot Video Object Detection (FSVOD) with three contributions to real-world visual learning challenge in our highly diverse and dynamic world: 1) a large-scale video dataset FSVOD-500 comprising of 500 classes with class-balanced videos in each category for few-shot learning; 2) a novel Tube Proposal Network (TPN) to generate high ...
Fan, Qi, Tang, Chi-Keung, Tai, Yu-Wing
openaire   +2 more sources

Temporal-Guided Label Assignment for Video Object Detection

Applied Sciences, 2022
In video object detection, the deterioration of an object’s appearance in a single frame brings challenges for recognition; therefore, it is natural to exploit temporal information to boost the robustness of video object detection.
Shu Tian, Meng Xia, Chun Yang
doaj   +1 more source

Object detection in sports videos

2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018
Object detection is commonly used in many computer vision applications. In our case, we need to apply the object detector as a prerequisite for action recognition in handball scenes. Object detection, to be successful for this task, should be as accurate as possible and should be able to deal with a different number of objects of various sizes ...
Pobar, Miran, Ivašić-Kos, Marina, Burić, Matija   +2 more
openaire   +1 more source

Embedded Real-time Video Object Detection Algorithm Based on YOLOv3 [PDF]

Jisuanji gongcheng, 2020
Despite the outstanding performance of deep neural network in object detection,it is hard to implement high-performance real-time object detection on embedded devices due to the complex structure and large amounts of required computation.To address the ...
YIN Yanqing, GONG Huajun, WANG Xinhua
doaj   +1 more source

Video Anomaly Detection Algorithm Based on Object Spatio-Temporal Context Fusion [PDF]

Jisuanji gongcheng, 2022
The purpose of video anomaly detection is to identify abnormal events in videos.Abnormal events primarily involve people, vehicles, and other objects.Each object in video data contains abundant spatio-temporal context information.However, most existing ...
GU Ping, QIU Jiatao, LUO Changjiang, ZHANG Zhipeng
doaj   +1 more source

Moving object detection in wavelet compressed video [PDF]

Signal Processing: Image Communication, 2005
In many surveillance systems the video is stored in wavelet compressed form. In this paper, an algorithm for moving object and region detection in video which is compressed using a wavelet transform (WT) is developed. The algorithm estimates the WT of the background scene from the WTs of the past image frames of the video.
Toreyin, B. U., Cetin, A. E., Aksay, A., Akhan, M. B.   +3 more
openaire   +4 more sources

Object Detection by Neural Network for Smart Home [PDF]

Big Data and Computing Visions, 2022
Household object detection is a brand-new computer technique that combines image processing and computer vision to recognize objects in the home. All objects stored in the kitchen, room, and other areas will be detected by the camera.
Ibrahim Mekawy
doaj   +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.
Brazil, Garrick, Pons-Moll, Gerard, Liu, Xiaoming, Schiele, Bernt   +3 more
openaire   +2 more sources

Video and Image Salient Object Detection Based on Multi-task Learning [PDF]

Jisuanji kexue
Salient object detection(SOD) can quickly identify high-value salient objects in complex scenes,which simulates human attention and lays the foundation for further vision understanding tasks.Currently,the mainstream methods for image-based salient object
LIU Zeyu, LIU Jianwei
doaj   +1 more source

Smart home with neural network based object detection [PDF]

Big Data and Computing Visions, 2022
Household object detection is a brand-new computer technique that combines image processing and computer vision to recognise objects in the home. All objects stored in the kitchen, room, and other areas will be detected by the camera.
Agyan Panda, Sheila Maria Muniz
doaj   +1 more source