標(biāo)題: Titlebook: Recognition of Humans and Their Activities Using Video; Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou Book 2005 Springer Nature Switz [打印本頁(yè)] 作者: bile-acids 時(shí)間: 2025-3-21 19:21
書目名稱Recognition of Humans and Their Activities Using Video影響因子(影響力)
書目名稱Recognition of Humans and Their Activities Using Video影響因子(影響力)學(xué)科排名
書目名稱Recognition of Humans and Their Activities Using Video網(wǎng)絡(luò)公開度
書目名稱Recognition of Humans and Their Activities Using Video網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Recognition of Humans and Their Activities Using Video被引頻次
書目名稱Recognition of Humans and Their Activities Using Video被引頻次學(xué)科排名
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書目名稱Recognition of Humans and Their Activities Using Video年度引用學(xué)科排名
書目名稱Recognition of Humans and Their Activities Using Video讀者反饋
書目名稱Recognition of Humans and Their Activities Using Video讀者反饋學(xué)科排名
作者: GEM 時(shí)間: 2025-3-21 20:38 作者: Dorsal-Kyphosis 時(shí)間: 2025-3-22 03:51 作者: 諂媚于性 時(shí)間: 2025-3-22 06:57
Recognition of Humans and Their Activities Using Video978-3-031-02236-4Series ISSN 1559-8136 Series E-ISSN 1559-8144 作者: Amenable 時(shí)間: 2025-3-22 08:54 作者: Conducive 時(shí)間: 2025-3-22 16:01
Human Recognition Using Face,tic, controlled-format photographs to uncontrolled video images, posing a wide range of technical challenges and requiring an equally wide range of techniques from image processing, analysis, understanding, and pattern recognition.作者: 藝術(shù) 時(shí)間: 2025-3-22 18:50
Future Research Directions,uman body and its motion using kinematic chains in a multicamera framework. Finally, we demonstrate how the use of different modalities, face and gait for instance, can lead to higher recognition performance.作者: 冬眠 時(shí)間: 2025-3-22 21:32 作者: 放逐 時(shí)間: 2025-3-23 02:30
Introduction, human visual system works by extracting information fromthe images formed on the retina of the eye, developments in computer vision are inevitably compared to the abilities of the human vision system. One of the basic tasks of the human visual system is to recognize humans and objects and spatial r作者: 空氣傳播 時(shí)間: 2025-3-23 09:32
Human Recognition Using Face,ly during the past decade. This is evidenced by the emergence of face recognition conferences such as AVBPA (2) and AFGR (1), systematic empirical evaluations of face recognition techniques (FRT), including the FERET (131), FRVT 2000 (14), FRVT 2002 (130), and XM2VTS (111) protocols, and many commer作者: 不可比擬 時(shí)間: 2025-3-23 11:48 作者: 落葉劑 時(shí)間: 2025-3-23 17:45 作者: Cerumen 時(shí)間: 2025-3-23 21:54
Future Research Directions,from video. Some of the most pressing problems are illuminations and pose variations. One of the approaches to deal with this problem is building a 3D model from video. This is however still a difficult problem under unconstrained situations. Quality of video data, efficiency of the reconstruction a作者: glomeruli 時(shí)間: 2025-3-24 00:30 作者: d-limonene 時(shí)間: 2025-3-24 03:33
1559-8136 in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe 作者: Felicitous 時(shí)間: 2025-3-24 09:42
Human Recognition Using Gait,an static appearance features such as face and it does not require a cooperating subject. In kinesiology, models for human walk can be used for early diagnosis of different disorders and can be used to supplement information available from other sources like X rays. They can be used to monitor the r作者: 門窗的側(cè)柱 時(shí)間: 2025-3-24 13:52 作者: 雕鏤 時(shí)間: 2025-3-24 16:38
Book 2005ent of recognition strategies that are robust to changes due to pose, illumination, disguise, and aging. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in 作者: 推測(cè) 時(shí)間: 2025-3-24 20:10 作者: Painstaking 時(shí)間: 2025-3-25 02:48
Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou作者: 處理 時(shí)間: 2025-3-25 05:07 作者: 撕裂皮肉 時(shí)間: 2025-3-25 07:40
Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou作者: 有雜色 時(shí)間: 2025-3-25 12:23 作者: 背帶 時(shí)間: 2025-3-25 18:13 作者: 柳樹；枯黃 時(shí)間: 2025-3-25 23:21 作者: Feedback 時(shí)間: 2025-3-26 00:36 作者: 整潔 時(shí)間: 2025-3-26 07:21
Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou作者: 草率男 時(shí)間: 2025-3-26 09:31
Time Series Clustering for Anomaly Detection Using Competitive Neural Networks,ssifying incoming data samples as normal/abnormal. For this purpose, we carry out performance comparisons among five competitive neural networks (SOM, Kangas’ Model, TKM, RSOM and Fuzzy ART) on simulated and real-world time series data.作者: Neutropenia 時(shí)間: 2025-3-26 13:41 作者: NADIR 時(shí)間: 2025-3-26 18:35 作者: MAIZE 時(shí)間: 2025-3-26 23:17 作者: 變色龍 時(shí)間: 2025-3-27 02:06 作者: 脫落 時(shí)間: 2025-3-27 08:40 作者: 輕信 時(shí)間: 2025-3-27 11:00 作者: 越自我 時(shí)間: 2025-3-27 13:41
0924-4263 and how the different components fit together.Concentrates fThe definition of all space systems starts with the establishment of its fundamental parameters: requirements to be fulfilled, overall system and satellite design, analysis and design of the critical elements, developmental approach, cost, 作者: bile648 時(shí)間: 2025-3-27 19:01 作者: NIB 時(shí)間: 2025-3-27 22:04
