Results 11 to 20 of about 747,764 (277)
Semantics Aware Dynamic SLAM Based on 3D MODT
The idea of SLAM (Simultaneous Localization and Mapping) being a solved problem revolves around the static world assumption, even though autonomous systems are gaining environmental perception capabilities by exploiting the advances in computer vision ...
Muhammad Sualeh, Gon-Woo Kim
doaj +1 more source
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
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
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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
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
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In Situ Holothurian Noncontact Counting System: A General Framework for Holothurian Counting
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
Object Detection Based on Multiple Information Fusion Net
Object detection has been playing a significant role in computer vision for a long time, but it is still full of challenges. In this paper, we propose a novel object detection framework based on relationship among different objects and the scene-level ...
Yanni Zhang +5 more
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Deep Learning Based Multiple Object Detection
Abstract Improvement of automation increases rapidly by deep learning-based object detection. If the small objects are detected by YOLO V3 network, the identification result will not be much successful, so we introduce new technology to find the very small objects by 8X downsampling rate.
J Karthika +4 more
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Feature Learning Improved by Location Guidance and Supervision for Object Detection
In recent years, the single-stage detectors have been developed rapidly; however, compared with the multi-stage detectors, their detection precision is still relatively low.
Bingying Li +4 more
doaj +1 more source
Linear Object Detection in Document Images Using Multiple Object Tracking
Accepted to ICDAR ...
Philippe Bernet +4 more
openaire +3 more sources

