Robust Human-Computer Interaction for Unstable Camera Systems

Hao ZHU  Qing YOU  Wenjie CHEN  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.7   pp.1915-1923
Publication Date: 2018/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDP7248
Type of Manuscript: PAPER
Category: Image Processing and Video Processing
Keyword: 
video stabilization,  human-computer interaction,  object proposal,  

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Summary: 
A lot of vision systems have been embedded in devices around us, like mobile phones, vehicles and UAVs. Many of them still need interactive operations of human users. However, specifying accurate object information could be a challenging task due to video jitters caused by camera shakes and target motions. In this paper, we first collect practical hand drawn bounding boxes on real-life videos which are captured by hand-held cameras and UAV-based cameras. We give a deep look into human-computer interactive operations on unstable images. The collected data shows that human input suffers heavy deviations which are harmful to interaction accuracy. To achieve robust interactions on unstable platforms, we propose a target-focused video stabilization method which utilizes a proposal-based object detector and a tracking-based motion estimation component. This method starts with a single manual click and outputs stabilized video stream in which the specified target stays almost stationary. Our method removes not only camera jitters but also target motions simultaneously, therefore offering an comfortable environment for users to do further interactive operations. The experiments demonstrate that the proposed method effectively eliminates image vibrations and significantly increases human input accuracy.