Results 41 to 50 of about 10,282,673 (296)
Small moving object detection in video sequences [PDF]
In this paper, we propose a method for detection of small moving objects in video. We first eliminate the camera motion using motion compensation. We then use an adaptive predictor to estimate the current pixel using neighboring pixels in the motion compensated image and, in this way, obtain a residual error image.
Rabi Zaibi +2 more
openaire +3 more sources
Toward Versatile Small Object Detection with Temporal-YOLOv8
Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features.
Martin C. van Leeuwen +4 more
doaj +1 more source
Deep learning for small object detection [PDF]
Small object detection has become increasingly relevant due to the fact that the performance of common object detectors falls significantly as objects become smaller.
Bosquet Mera, Brais
core
Improved Small Object Detection Algorithm CRL-YOLOv5
Detecting small objects in images poses significant challenges due to their limited pixel representation and the difficulty in extracting sufficient features, often leading to missed or false detections.
Zhiyuan Wang +6 more
doaj +1 more source
Small Object Detection Based on Stereo Vision
Small size objects which dimensions are around 0.15m are one of the major security risks to driving vehicles in the highway. Lidar and radar are hard to detect this kind of objects due to the sparsity of their detecting signal.
Long Qian +4 more
doaj +1 more source
Small object detection has always been a difficult direction in the field of object detection, especially the detection of small objects in UAV aerial images. The images captured by UAVs have the characteristics of small objects and dense objects.
Xiaobin Wang, Dekang Zhu, Ye Yan
doaj +1 more source
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
An Adaptive Network for Arbitrary-Oriented and Small Object Detection in Remote Sensing Images
To address the challenges posed by detection of arbitrary orientation object and small object in remote sensing imagery, this paper proposes an innovative object detection model based on YOLOv8, named YOLOv8-DFS.
Zhiyong Zeng, Chao Wu, Wenqi Zeng
doaj +1 more source
Skip DETR: end-to-end Skip connection model for small object detection in forestry pest dataset
Object detection has a wide range of applications in forestry pest control. However, forest pest detection faces the challenges of a lack of datasets and low accuracy of small target detection.
Bing Liu +5 more
doaj +1 more source
Small object detection neurons in female hoverflies [PDF]
While predators such as dragonflies are dependent on visual detection of moving prey, social interactions make conspecific detection equally important for many non-predatory insects. Specialized ‘acute zones’ associated with target detection have evolved in several insect groups and are a prominent male-specific feature in many dipteran flies.
Nordstrom, K., O'Carroll, D.
openaire +3 more sources

