In this paper, we propose a fast and accurate object de- tection method for compressed videos called Motion-aided. Memory Network with pyramidal feature ...
Nov 27, 2018 · In this paper, we propose a fast object detection method by taking advantage of this with a novel Motion aided Memory Network (MMNet). The MMNet ...
In this paper, we propose a fast and accurate object de- tection method for compressed videos called Motion-aided. Memory Network with pyramidal feature ...
This paper proposes a fast object detection method by taking advantage of both motion vectors and residual errors that are freely available in video streams ...
We propose a unified framework LSFA for video object detection addressing both detection accuracy and speed. In LSFA, the short-term feature aggregation method ...
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In this paper, we propose a fast object detection method by taking advantage of this with a novel Motion aided Memory Network (MMNet). The MMNet has two major ...
Video Coding (HEVC), which significantly accelerates the object detection process that uses compressed video images. Considering the characteristics of ...
A unified framework for video object detection with high accuracy and speed. Enhancing non-key frames features using tiny images in short-term aggregation.
We tackle all the three challenges in our framework by incorporating forward and backward motion cues from the compressed video to dramatically increase the ...
Abstract: In this paper we propose a novel approach for fast and robust motion vector (MV) based object detection in MPEG-1 video streams.