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	Differences in the Digital Home Lives of Young People in New Zealand 期刊论文 British Journal of Educational Technology, 2017, 卷号: Vol.48 No.2, 页码: 642-652 作者: Hartnett,Maggie 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/24 Foreign Countries Socioeconomic Influences Family Environment Access to Computers Access to Information Adolescents Handheld Devices Socioeconomic Background Electronic Equipment Technology Uses in Education Educational Opportunities Individual Differences Economically Disadvantaged
	Dynamic hand gesture segmentation method based on unequai-probabilities background difference and improved FCM algorithm 期刊论文 International Journal of Innovative Computing, Information and Control, 2015, 卷号: 11, 期号: 5, 页码: 1823-1834 作者: Zhang, Qiuyu; Lu, Junchi; Wei, Huiyi; Zhang, Moyi; Dua, Hongxiang 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/11/14 Clustering algorithms Color Copying Fuzzy clustering Fuzzy systems Mathematical morphology Probability Background differences Computer interaction Fuzzy C-means algorithms Hand gesture Morphological processing
	Video Object Segmentation via Adaptive Threshold based on Background Model Diversity 会议论文 6th International Conference on Graphic and Image Processing (ICGIP), Beijing, PEOPLES R CHINA, 2015-01-01 作者: Bachir, Boubekeur Mohamed; SenLin, Luo; Hocine, Labidi; Tarek, Benlefki 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/01/06 Background Subtraction video object segmentation surveillance square successive differences
	A new video objects segmentation algorithm based on fusion of image segmentation and improved background difference 会议论文 2013 IEEE Conference Anthology, ANTHOLOGY 2013, China, January 1, 2013 - January 8, 2013 作者: Qu, Zhiyi; Wen, Lijuan; Tian, Nan 收藏 \| 浏览/下载：6/0 \| 提交时间：2017/01/18 Image segmentation Algorithms Edge detection Extraction Models Motion compensation Background difference methods Background differences Background model Color image segmentation Extraction algorithms Moving objects extractions Temporal segmentations Video objects segmentations
	A 3D model based action recorder using computer vision 会议论文作者: Li, Yong; Rao, Yuan; Duan, Youxiang; Zhang, Weishan 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/03 Action recognition Adaptive mean shift algorithms Background differences Background image difference Detection and tracking Human-action recognition Target detection and tracking Testing environment
	Hand gesture target model updating and result forecasting algorithm based on mean shift 期刊论文 Journal of Multimedia, 2013, 卷号: 8, 期号: 1, 页码: 1-7 作者: Zou, Xiao; Wang, Heng; Zhang, Qiuyu 收藏 \| 浏览/下载：18/0 \| 提交时间：2020/11/14 Forecasting Target tracking Background differences Forecasting algorithm Gesture tracking Hand tracking Mean shift algorithm Model updating Skin-color detection Surrounding environment
	Application of adaptive enhancement means in head and neck CR image (EI CONFERENCE) 会议论文 2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China Zhang M.-H.; Zhang Y.-Y. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 Digital CR of head and neck overcomes the disadvantage of regular X-ray radiography which can not reveal bone and soft tissue position deficiency in one exposing and reduces the Xray radiation dose. Meanwhile various factors cause the decline of image quality and images must be enhanced in order to meet demands of doctor's clinical diagnosis. The general enhancement algorithms don't consider body's structure differences and density characteristics. A new adaptive CR enhancement algorithm was proposed in this article and head and neck CR images were processed with this method and compared with linear unsharp masking method. The experiment proves that the details of CR image enhanced were abundant and enhanced CR image had good visual effect SNR was high as well as detail variance /background variance (DV/BV) indicating that this algorithm is suitable for head and neck CR medical images. (2012) Trans Tech Publications Switzerland.
	An arithmetic method of segmenting moving aeolian sand particles' images from background information of digital high-speed photography images 期刊论文 Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics, 2012, 卷号: 44, 期号: [db:dc_citation_issue], 页码: 82-87 作者: Mei, Fanmin; Jiang, Chanwen 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/10 Aeolian sand Background information Consecutive images Digital high-speed photography Gray level differences Lift-off velocity Overlapping images Saltating particles
	Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE) 会议论文 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China Bai X.-G.; Dai M. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 An algorithm based on weight image analysis is proposed for adaptive deformation estimation of moving target in mean-shift tracking method. At the first we get the weight image from the target candidate region. Then we analyze the differences between the object and background. According to that the area estimation of the target can be converted into the image segmentation task. To realize the adaptive segmentation and estimation we define the threshold as the maximum variance between object and background. Combining the estimated area and covariance matrix we can estimate the width height and orientation of the object. The experimental results on three representative video sequences validate its robustness to the deformable estimation of the targets. 2010 IEEE.
	Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China Zhang Y.; Qu H.; Wang Y. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 Scene matching under complex background is a priority and difficulty in the field of computer vision it has the characteristics of rotation and scaling invariance commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes anti-light and anti-slight-distortion the image distortion exist applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation such as light and utilize the rotation-scale-invariance vectors to describe the extracted keylines change of gray levels this method includes three steps: keylines extraction perspective description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE. scaling and other differences which cause matching difficult. This paper aims to find a scene matching algorithm

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