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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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An advanced YOLOv3 method for small object detection
Journal of Intelligent & Fuzzy Systems, 2023 Small object detection has important application value in the fields of autonomous driving and drone scene analysis. As one of the most advanced object detection algorithms, YOLOv3 suffers some challenges when detecting small objects, such as the problem of detection failure of small objects and occluded objects.
Baokai Liu +4 more
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Probabilistic, Features-Based Object Recognition [PDF]
, 2008 Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
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Small object detection method [PDF]
, 2022 In computer vision, significant advances have been made on object detection with the rapid development of deep convolutional neural networks (CNN)/ When it comes to small objects?
Gourinovitch, A., Tang, Yi
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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
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Toward Versatile Small Object Detection with Temporal-YOLOv8
SensorsDeep 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
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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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Small moving object detection in video sequences [PDF]
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002 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
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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
openaire +6 more sources
Visual SLAM and Moving-object Detection for a Small-size Humanoid Robot
, 2010 In the paper, a novel moving object detection (MOD) algorithm is developed and integrated with robot visual Simultaneous Localization and Mapping (vSLAM).
Rung-Chi Ju +2 more
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