Results 11 to 20 of about 9,148,687 (226)
Multiple object tracking using particle filters [PDF]
, 2006 The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
Canagarajah, N. +3 more
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Foreground detection of video through the integration of novel multiple detection algorithims [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe main outcomes of this research are the design of a foreground detection algorithm, which is more accurate and less time consuming than existing ...
Nawaz, Muhammad
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Multiple spatial residual network for object detection
Complex & Intelligent Systems, 2022 Many residual network-based methods have been proposed to perform object detection. However, most of them may lead to overfitting or cannot perform well in small object detection and alleviate the problem of overfitting.
Yongsheng Dong +3 more
doaj +1 more source
Journal of Imaging, 2021 In this work we present a novel end-to-end solution for tracking objects (i.e., vessels), using video streams from aerial drones, in dynamic maritime environments. Our method relies on deep features, which are learned using realistic simulation data, for
Daniel Tøttrup +3 more
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FusionTrack: Multiple Object Tracking with Enhanced Information Utilization
Applied Sciences, 2023 Multi-object tracking (MOT) is one of the significant directions of computer vision. Though existing methods can solve simple tasks like pedestrian tracking well, some complex downstream tasks featuring uniform appearance and diverse motion remain ...
Yifan Yang +6 more
doaj +1 more source
Sensors, 2022 Person re-identification (re-ID) is one of the essential tasks for modern visual intelligent systems to identify a person from images or videos captured at different times, viewpoints, and spatial positions.
Shao-Kang Huang +2 more
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A Vision Detection Scheme Based on Deep Learning in a Waste Plastics Sorting System
Applied Sciences, 2023 The preliminary sorting of plastic products is a necessary step to improve the utilization of waste resources. To improve the quality and efficiency of sorting, a plastic detection scheme based on deep learning is proposed in this paper for a waste ...
Shengping Wen, Yue Yuan, Jingfu Chen
doaj +1 more source
In Situ Holothurian Noncontact Counting System: A General Framework for Holothurian Counting
IEEE Access, 2020 Holothurian counting is a basic requirement in aquaculture. An in situ noncontact approach for holothurian counting is basically harmless, which makes such techniques an optimal choice for aquaculture monitoring. To develop an in situ noncontact counting
Xinliang Zhang +5 more
doaj +1 more source
Automatic annotation for weakly supervised learning of detectors [PDF]
, 2012 PhDObject detection in images and action detection in videos are among the most widely studied computer vision problems, with applications in consumer photography, surveillance, and automatic media tagging. Typically, these standard detectors are fully
Siva, Parthipan
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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
doaj +1 more source