Results 31 to 40 of about 10,282,673 (296)
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.
Chaverot, Maxence +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
core +1 more source
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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Small Object Detection using Context and Attention [PDF]
2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2021 There are many limitations applying object detection algorithm on various environments. Especially detecting small objects is still challenging because they have low resolution and limited information. We propose an object detection method using context for improving accuracy of detecting small objects. The proposed method uses additional features from
Jeong-Seon Lim +3 more
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MultiResolution Attention Extractor for Small Object Detection
CoRR, 2020 Small objects are difficult to detect because of their low resolution and small size. The existing small object detection methods mainly focus on data preprocessing or narrowing the differences between large and small objects. Inspired by human vision "attention" mechanism, we exploit two feature extraction methods to mine the most useful information ...
Fan Zhang 0041 +4 more
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Discriminating small wooded elements in rural landscape from aerial photography: a hybrid pixel/object-based analysis approach [PDF]
, 2009 While small, fragmented wooded elements do not represent a large surface area in agricultural landscape, their role in the sustainability of ecological processes is recognized widely.
Ouin, Annie +5 more
core +1 more source
Fast human detection for video event recognition [PDF]
, 2009 Human body detection, which has become a research hotspot during the last two years, can be used in many video content analysis applications. This paper investigates a fast human detection method for volume based video event detection.
Wang, J, Xu, Zhijie, Hoder, M.E.
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DroneNet: Rescue Drone-View Object Detection
Drones, 2023 Recently, the research on drone-view object detection (DOD) has predominantly centered on efficiently identifying objects through cropping high-resolution images. However, it has overlooked the distinctive challenges posed by scale imbalance and a higher
Xiandong Wang +7 more
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Small Object Detection and Tracking: A Comprehensive Review
Sensors, 2023 Object detection and tracking are vital in computer vision and visual surveillance, allowing for the detection, recognition, and subsequent tracking of objects within images or video sequences. These tasks underpin surveillance systems, facilitating automatic video annotation, identification of significant events, and detection of abnormal activities ...
Behzad Mirzaei +3 more
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LUD-YOLO: An Efficient and Balanced Object Detection Model for Unmanned Aerial Vehicles
IEEE AccessUnmanned aerial vehicles (UAVs) have been widely used in defense, precision agriculture, ecological monitoring, and intelligent transportation because of their compact size, high mobility, and flexible deployment. Object detection based on UAV imagery is
Benyi Zhang
doaj +1 more source