Results 21 to 30 of about 9,772,409 (292)
DEPA-YOLO：Drone-Based Small Object Detection Model [PDF]
Jisuanji kexue yu tansuoIn response to the challenges of small object detection from the UAV perspective, including dense target distribution, complex background interference, and insufficient feature resolution, this paper proposes an improved model based on YOLOv10, named ...
LIU Chenjie, LIU Wei, YANG Wendi, WANG Cheng
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Contextualized Small Target Detection Network for Small Target Goat Face Detection
, 2023 With the advancement of deep learning technology, the importance of utilizing deep learning for livestock management is becoming increasingly evident. goat face detection provides a foundation for goat recognition and management.
Hongwei Du +4 more
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Subspace discovery for video anomaly detection [PDF]
, 2010 PhDIn automated video surveillance anomaly detection is a challenging task. We address this task as a novelty detection problem where pattern description is limited and labelling information is available only for a small sample of normal instances.
Tziakos, Ioannis
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Augmentation for small object detection
9th International Conference on Advances in Computing and Information Technology (ACITY 2019), 2019 In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of small and large objects. We analyze the current state-of-the-art model, Mask-RCNN, on a challenging dataset, MS COCO.
Mate Kisantal +4 more
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Small object detection and tracking from aerial imagery
, 2021 Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training set of modern-day object detectors,
Aktaş, Mustafa, Ateş, Hasan Fehmi
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Binary histogram based split/merge object detection using FPGAs [PDF]
, 2010 Tracking of objects using colour histograms has proven successful in various visual surveillance systems. Such systems rely heavily on similarity matrices to compare the appearance of targets in successive frames.
Hunter, A +7 more
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Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection
Frontiers in Physiology, 2022 Object detection technology has been widely used in medical field, such as detecting the images of blood cell to count the changes and distribution for assisting the diagnosis of diseases.
Bin Hu +5 more
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Remote Sensing, 2023 In the field of object detection, deep learning models have achieved great success in recent years. Despite these advances, detecting small objects remains difficult. Most objects in aerial images have features that are a challenge for traditional object
Hao Zhang +4 more
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Improvement of small objects detection in thermal images
Integrated Computer-Aided Engineering, 2023 Thermal images are widely used for various applications such as safety, surveillance, and Advanced Driver Assistance Systems (ADAS). However, these images typically have low contrast, blurred aspect, and low resolution, making it difficult to detect distant and small-sized objects.
Maxence Chaverot +4 more
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Vision based landmark detection for UAV navigation [PDF]
, 2012 The majority of Unmanned Aerial Vehicles (UAV) available today depend on Global Position Satellites (GPS) and inertial measurement units (IMU) for state estimation used in navigation and control.
Elliott, Alexander William
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