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Detection and Localization of Multiple Objects [PDF]
2006 6th IEEE-RAS International Conference on Humanoid Robots, 2006 Being able to identify and localize objects is an important requirement for various humanoid robot applications. In this paper we present a method which uses PCA-SIFT in combination with a clustered voting scheme to achieve detection and localization of multiple objects in real-time video data.
Stefan Zickler, Manuela Veloso
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency
Kongzhi Yu Xinxi Jishu, 2023 The visual multiple-object tracking module is a key component of an active onboard obstacle detection system. However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without ...
YANG Hailang +5 more
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Object Detection Under Challenging Lighting Conditions Using High Dynamic Range Imagery
IEEE Access, 2021 Most Convolution Neural Network (CNN) based object detectors, to date, have been optimized for accuracy and/or detection performance on datasets typically comprised of well exposed 8-bits/pixel/channel Standard Dynamic Range (SDR) images.
Ratnajit Mukherjee +3 more
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Multiple kernels for object detection
2009 IEEE 12th International Conference on Computer Vision, 2009 Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image sub-windows. We use multiple kernel learning of Varma and Ray (ICCV 2007) to learn an optimal combination of exponential χ2 kernels, each of which captures a different feature channel ...
Vedaldi, A +4 more
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Scheduling Framework for Accelerating Multiple Detection-Free Object Trackers
Sensors, 2023 In detection-free tracking, after users freely designate the location of the object to be tracked in the first frame of the video sequence, the location of the object is continuously found in the following video frame sequence.
Myungsun Kim +3 more
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Remote Sensing, 2022 In high-resolution earth observation systems, object detection in high spatial resolution remote sensing images (HSRIs) is the key technology for automatic extraction, analysis and understanding of image information.
Zhipeng Dong +5 more
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On the factors causing processing difficulty of multiple-scene displays [PDF]
, 2016 Multiplex viewing of static or dynamic scenes is an increasing feature of screen media. Most existing multiplex experiments have examined detection across increasing scene numbers, but currently no systematic evaluation of the factors that might produce ...
Scott-Brown, Kenneth C. +2 more
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OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection
IEEE Transactions on Image Processing, 2023 10 pages, 7 ...
Chenxi Huang +5 more
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A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems.
International Journal of Interactive Multimedia and Artificial Intelligence, 2022 Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring system, and forest monitoring ...
M. Adimoolam +3 more
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A Study on Software-based Sensing Technology for Multiple Object Control in AR Video
Sensors, 2010 Researches on Augmented Reality (AR) have recently received attention. With these, the Machine-to-Machine (M2M) market has started to be active and there are numerous efforts to apply this to real life in all sectors of society.
Seoksoo Kim +4 more
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