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- 저자 : ( Yali Nie ) (검색결과 2 건)
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A Multi-Stage Convolution Machine with Scaling and Dilation for Human Pose Estimation
( Yali Nie ),( Jaehwan Lee ),( Sook Yoon ),( Dong Sun Park ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.6
Vision-based Human Pose Estimation has been considered as one of challenging research subjects due to problems including confounding background clutter, diversity of human appearances and illumination changes in scenes. To tackle these problems, we propose to use a new multi-stage convolution machine for estimating human pose. To provide better heatmap prediction of body joints, the proposed machine repeatedly produces multiple predictions according to stages with receptive field large enough for learning the long-range spatial relationship. And stages are composed of various modules according to their strategic purposes. Pyramid stacking module and dilation module are used to handle problem of human pose at multiple scales. Their multi-scale information from different receptive fields are fused with concatenation, which can catch more contextual information from different features. And spatial and channel information of a given input are converted to gating factors by squeezing the feature maps to a single numeric value based on its importance in order to give each of the network channels different weights. Compared with other ConvNet-based architectures, we demonstrated that our proposed architecture achieved higher accuracy on experiments using standard benchmarks of LSP and MPII pose datasets.
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Coverage Holes Compensation Algorithms Based on Event-Driven Strategy in Wireless Sensor Networks
Zeyu Sun,Yali Yun,Yalin Nie,Yuanbo Li 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.9
The process of random deployments, Coverage holes’ phenomena were appeared in wireless sensor network system. This paper presents a probabilistic model by means of event-driven policy coverage holes’ compensation method (Coverage Holes Compensation Algorithms Based on Event-Driven Strategy, CHCAEDS). Firstly, the characteristics of random deployment verified, given the random deployment of representation, followed by the use of probabilistic knowledge within the surveillance area coverage desired and the number of nodes is solved using the minimum number of nodes in order to achieve maximum coverage area; and finally, simulation experiment show, CHCAEDS algorithm with other algorithms in the network life cycle and the algorithm running time increased by 12.59% and10.82%.
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