Results 41 to 50 of about 297,750 (279)

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

Towards High Performance Video Object Detection

, 2017
There has been significant progresses for image object detection in recent years. Nevertheless, video object detection has received little attention, although it is more challenging and more important in practical scenarios. Built upon the recent works,
Dai, Jifeng, Wei, Yichen, Yuan, Lu, Zhu, Xizhou   +3 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

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

Activity Driven Weakly Supervised Object Detection

, 2019
Weakly supervised object detection aims at reducing the amount of supervision required to train detection models. Such models are traditionally learned from images/videos labelled only with the object class and not the object bounding box.
Ghadiyaram, Deepti, Mahajan, Dhruv, Nevatia, Ram, Ramanathan, Vignesh, Yang, Zhenheng   +4 more
core   +1 more source

Fast and accurate object detection in high resolution 4K and 8K video using GPUs [PDF]

, 2018
Machine learning has celebrated a lot of achievements on computer vision tasks such as object detection, but the traditionally used models work with relatively low resolution images.
Franchetti, Franz, Růžička, Vít
core   +3 more sources

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

Learning Video Salient Object Detection Progressively From Unlabeled Videos

IEEE Transactions on Multimedia
Recent deep learning-based video salient object detection (VSOD) has achieved some breakthrough, but these methods rely on expensive annotated videos with pixel-wise annotations, weak annotations, or part of the pixel-wise annotations. In this paper, based on the similarities and the differences between VSOD and image salient object detection (SOD), we
Binwei Xu, Qiuping Jiang, Haoran Liang, Dingwen Zhang, Ronghua Liang, Peng Chen   +5 more
openaire   +2 more sources

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel, Patricia Pastura, Joshua P. Scallan, Timothy D. Le Cras   +3 more
wiley   +1 more source

Road User Detection in Videos [PDF]

, 1963
Successive frames of a video are highly redundant, and the most popular object detection methods do not take advantage of this fact. Using multiple consecutive frames can improve detection of small objects or difficult examples and can improve speed and ...
Perreault, Hughes, Bilodeau, Guillaume-Alexandre, Saunier, Nicolas, Gravel, Pierre   +3 more
core   +3 more sources