Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video [PDF]
, 2017 Object detection is considered one of the most challenging problems in this field of computer vision, as it involves the combination of object classification and object localization within a scene.
Chywl, Brendan +3 more
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Unmanned aerial vehicles object detection based on image haze removal under sea fog conditions
IET Image Processing, 2022 Unmanned aerial vehicles (UAVs) have gradually become a major air threat to ships because of small size, good maneuverability, and low cost. Vision‐based UAV detection offers one of the main ways to identify and protect against UAVs.
Wang Pikun +3 more
doaj +1 more source
Video object detection from one single image through opto-electronic neural network
APL Photonics, 2021 An opto-electronic neural network is designed for video object detection from a long-exposure blurred image. This network combines an optical encoder, convolutional neural network decoder, and object detection module, which are jointly optimized end-to ...
Chengyang Hu +4 more
doaj +1 more source
Challenges in video based object detection in maritime scenario using computer vision [PDF]
, 2016 This paper discusses the technical challenges in maritime image processing and machine vision problems for video streams generated by cameras. Even well documented problems of horizon detection and registration of frames in a video are very challenging ...
Prasad, D. K. +5 more
core +2 more sources
Video Salient Object Detection via Fully Convolutional Networks [PDF]
IEEE Transactions on Image Processing, 2018 W. Wang, J. Shen, and L. Shao, Video salient object detection via fully convolutional networks, IEEE Trans.
Wang, Wenguan +2 more
openaire +5 more sources
On Pairwise Costs for Network Flow Multi-Object Tracking [PDF]
, 2015 Multi-object tracking has been recently approached with the min-cost network flow optimization techniques. Such methods simultaneously resolve multiple object tracks in a video and enable modeling of dependencies among tracks.
Chari, Visesh +3 more
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Fast-D: When Non-Smoothing Color Feature Meets Moving Object Detection in Real-Time
IEEE Access, 2020 The moving object detection refers to the detection of physical moving objects from a video, which is applied in video surveillance, object recognition, object counting, human-computer interaction, and so on.
Md. Alamgir Hossain +4 more
doaj +1 more source
Adaptive Multi-Camera System for Real Time Object Detection [PDF]
, 2011 In this paper we present an adaptive multi-camera system for real time object detection able to efficiently adjust the computational requirements of video processing blocks to the available processing power and the activity of the scene.
Camplani, Massimo +1 more
core +2 more sources
Detecting Carried Objects in Short Video Sequences [PDF]
, 2008 We propose a new method for detecting objects such as bags carried by pedestrians depicted in short video sequences. In common with earlier work [1,2] on the same problem, the method starts by averaging aligned foreground regions of a walking pedestrian to produce a representation of motion and shape (known as a temporal template) that has some ...
Damen, Dima, Hogg, David
openaire +3 more sources
Shadow Detection Based on Regions of Light Sources for Object Extraction in Nighttime Video
Sensors, 2017 Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection.
Gil-beom Lee +4 more
doaj +1 more source