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Documenting Physical Objects with Live Video and Object Detection
Proceedings of the 27th ACM International Conference on Multimedia, 2019Responding to requests for information from an application, a remote person, or an organization that involve documenting the presence and/or state of physical objects can lead to incomplete or inaccurate documentation. We propose a system that couples information requests with a live object recognition tool to semi-automatically catalog requested items
Scott A. Carter +2 more
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A real-time object detection algorithm for video
Computers and Electrical Engineering, 2019Abstract Deep learning technology has been widely used in object detection. Although the deep learning technology greatly improves the accuracy of object detection, we also have the challenge of a high computational time. You Only Look Once (YOLO) is a network for object detection in images.
Beizhan Wang, Hongji Wang
exaly +2 more sources
Local track to detect for video object detection
International Journal of Computer Applications in Technology, 2021Biao Zeng +4 more
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Online Detection of Moving Object in Video
2015Moving car discovery is one of the most essential problems in image processing. It is a very challenging problem that attracts many attentions recently. Major part of previous moving car discovery methods engages radar signals. Nevertheless, those face some troubles in special cases, for example they have difficulty in detection of moving cars in ...
Maryam Azimifar +2 more
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Video Object Detection Based on Deformable Convolution
2020 3rd Artificial Intelligence and Cloud Computing Conference, 2020Video object detection is one of the important research directions in the field of computer vision with applications in various domains, e.g. public security, traffic management, etc. Nevertheless, it is very challenging to extend the image-based object detection method to video object detection.
Yanjun Liang, Zhiming Wang
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Detection of Moving Objects in a Binocular Video Sequence
2006 10th International Workshop on Cellular Neural Networks and Their Applications, 2006A moving objects detection algorithm is proposed in order to improve the performance in presence of moving objects appearing close in a 2D image but with different distances from the observer. The method requires two distinct cameras with slight horizontal displacement, giving two video sequences. Frame difference is used to evidence the moving objects
Costantini G. +2 more
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Detecting Human-Object Relationships in Videos
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021Jingwei Ji +2 more
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Object Detection and Tracking in Real Time Videos
International Journal of Information Systems in the Service Sector, 2019Object and human tracking in streaming videos are one of the most challenging problems in vision computing. In this article, we review some relevant machine learning algorithms and techniques for human identification and tracking in videos. We provide details on metrics and methods used in the computer vision literature for monitoring and propose a ...
Christian R. Llano +2 more
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Mining Inter-Video Proposal Relations for Video Object Detection
2020Recent studies have shown that, context aggregating information from proposals in different frames can clearly enhance the performance of video object detection. However, these approaches mainly exploit the intra-proposal relation within single video, while ignoring the intra-proposal relation among different videos, which can provide important ...
Mingfei Han 0002 +3 more
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Tracking Assisted Faster Video Object Detection
2019 IEEE International Conference on Multimedia and Expo (ICME), 2019Recent approaches have achieved great success on still image object detection. Despite the high accuracy, directly applying image object detectors for video object detection is rather slow. Inspired from the fact that object tracking is much more efficient than object detection, we propose to combine object detection and tracking for fast video object ...
Wenfei Yang +3 more
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