Cascaded Regional Spatio-Temporal Feature-Routing Networks for Video Object Detection

Cascaded Regional Spatio-Temporal Feature-Routing Networks for Video Object Detection

This paper presents a cascaded regional spatiotemporal feature-routing networks for video object detection. Region proposal networks in faster region-based convolutional neural network (CNN) generate spatial proposals, whereas neglecting the temporal property of the videos. We incorporate the correl...

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Bibliographic Details
Main Authors: Hui Shuai, Qingshan Liu, Kaihua Zhang, Jing Yang, Jiankang Deng
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Video object detection
correlation filter tracking
router-function
regression networks
co-occurrence inference
Online Access:https://ieeexplore.ieee.org/document/8240896/

Internet

https://ieeexplore.ieee.org/document/8240896/

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