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	Modality Consistency-Guided Contrastive Learning for Wearable-Based Human Activity Recognition 期刊论文 OAI收割 IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 12, 页码: 21750-21762 作者: Guo, Changru; Zhang, Yingwei; Chen, Yiqiang; Xu, Chenyang; Wang, Zhong \| 收藏 \| 浏览/下载：4/0 \| 提交时间：2024/12/06 Human activity recognition Self-supervised learning Task analysis Data models Time series analysis Internet of Things Face recognition Contrastive learning (CL) human activity recognition (HAR) intermodality intramodality self-supervised
	CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit 期刊论文 OAI收割 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 12 作者: Li, Wenbo; Zeng, Guanzhong; Zhang, Juncheng; Xu, Yan; Xing, Yang \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2022/01/27 Emotion recognition Feature extraction Cognitive processes Face recognition Task analysis Information processing Convolutional neural networks Affective computing driver emotion facial expression human-machine interaction (HMI) smart cockpit
	Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China 作者: Zhang Y. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance the system not only works for single target if the monitor is appointed for human face tracking but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance the best system appears to be concentrating on human face only and all the others considered being background the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE. the background regions needn't to be recorded in detail. For this purpose this letter presents a real-time foveate storage system which efficiently represents the video image in log-polar coordinates with the foveate point centered on the target
	人脸自动检测学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2001 邓惠民收藏 \| 浏览/下载：21/0 \| 提交时间：2015/09/02 人脸检测人脸识别视觉注意 SUSAN算法多尺度分析方向图知识与规则 Human face detection Human face recognition Visual attention SUSAN.Multi-scale analysis.Direction diagram.knowledge and rules