標(biāo)題: Titlebook: Visual Analysis of Behaviour; From Pixels to Seman Shaogang Gong,Tao Xiang Book 2011 Springer-Verlag London Limited 2011 Activity Recogniti [打印本頁(yè)] 作者: CHARY 時(shí)間: 2025-3-21 19:58
書(shū)目名稱Visual Analysis of Behaviour影響因子(影響力)
書(shū)目名稱Visual Analysis of Behaviour影響因子(影響力)學(xué)科排名
書(shū)目名稱Visual Analysis of Behaviour網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Visual Analysis of Behaviour網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Visual Analysis of Behaviour被引頻次
書(shū)目名稱Visual Analysis of Behaviour被引頻次學(xué)科排名
書(shū)目名稱Visual Analysis of Behaviour年度引用
書(shū)目名稱Visual Analysis of Behaviour年度引用學(xué)科排名
書(shū)目名稱Visual Analysis of Behaviour讀者反饋
書(shū)目名稱Visual Analysis of Behaviour讀者反饋學(xué)科排名
作者: Allowance 時(shí)間: 2025-3-21 21:25 作者: anaerobic 時(shí)間: 2025-3-22 01:36
Shaogang Gong,Tao XiangTeil des allgemeinen Prinzips der Selbstbestimmung des Menschen. Dieses Prinzip ist nach dem Grundgesetz als ein der Rechtsordnung vorgegebener und in ihr zu verwirklichender Wert durch die Grundrechte anerkannt..作者: 工作 時(shí)間: 2025-3-22 08:28
Shaogang Gong,Tao XiangiVm. dem BG über das Bundesgesetzblatt, BGBIG), die von Landesgesetzen in den .. — Es handelt sich dabei um eine ., auf die . Kenntnisnahme der Betroffenen kommt es grunds?tzlich nicht an; § 2. - Bundesgesetze treten nach Ablauf des Tages der Kundmachung in Kraft; Art. 49 I Satz 2 B-VG iVm. § 4 BGB1作者: NIB 時(shí)間: 2025-3-22 10:36
ung der Kr?fte, die sich nach einer Kodifikation einzustellen pflegt. Entgegen der ausdrücklichen Absicht des Gesetzgebers (§ 7!) nimmt man das Gesetz kritiklos hin, ja man fragt sich, ob es überhaupt einen Kommentar brauche und gestatte. Die Fortbildung besorgen ausschlie?lich Hofdekrete in der ver作者: Antimicrobial 時(shí)間: 2025-3-22 15:59 作者: Axon895 時(shí)間: 2025-3-22 20:54 作者: 可行 時(shí)間: 2025-3-22 23:07
rfahren es gibt, und welche Besonderheiten diese einzelnen Verfahrensabschnitte für den Steuerpflichtigen haben. Für die Bearbeitung eines Steuerfalls ist vor allem die genaue Kenntnis der Rechte und Pflichten des Steuerpflichtigen und der Finanzbeh?rden wichtig.作者: 作嘔 時(shí)間: 2025-3-23 01:45
Shaogang Gong,Tao Xiangrfahren es gibt, und welche Besonderheiten diese einzelnen Verfahrensabschnitte für den Steuerpflichtigen haben. Für die Bearbeitung eines Steuerfalls ist vor allem die genaue Kenntnis der Rechte und Pflichten des Steuerpflichtigen und der Finanzbeh?rden wichtig.作者: 群居動(dòng)物 時(shí)間: 2025-3-23 09:30
Shaogang Gong,Tao Xiangist die . des Versicherers, welche gegen die Pr?mie ausgetauscht wird. Sie durchl?uft als Dauerleistung zwei Zeitr?ume, welche durch den Eintritt des Versicherungsfalls, d.h. die Verwirklichung der versicherten Gefahr, voneinander getrennt werden. . dem Versicherungsfall wird der . gleichsam im Ruhe作者: dyspareunia 時(shí)間: 2025-3-23 11:57
Shaogang Gong,Tao Xiangcal change, but, owing to the complexity of the majority of explosive reactions, most of the important advances in this field have occurred within the last twenty years. As early as 1884 .. had expressed the idea that any reaction would become self-accelerating and eventually explosive if heat was l作者: jovial 時(shí)間: 2025-3-23 17:37 作者: DEI 時(shí)間: 2025-3-23 19:54
Shaogang Gong,Tao Xiangohl der elementare Vorgang, der das Wesen der Wirkung ausmacht, vielleicht sehr oft prinzipiell der gleiche ist. Beim Zusammentreffen lebendiger Substanz mit Schwermetallverbindungen kommt eine ganze Reihe verschiedener M?glichkeiten gegenseitiger Einwirkung in Betracht, die durch die chemische Natu作者: 撫育 時(shí)間: 2025-3-23 22:28 作者: debacle 時(shí)間: 2025-3-24 05:47 作者: Agility 時(shí)間: 2025-3-24 07:06
Shaogang Gong,Tao Xiangight, Scott and Chang, 2005:1). The virtues and shortcomings of China’s economic rise are touted by economists and policymakers worldwide. For some, the economic re-emergence of the Chinese nation is one of the most significant events to occur in modern history (OECD, 2006). For others: “China is an作者: PANEL 時(shí)間: 2025-3-24 11:14
http://image.papertrans.cn/v/image/983667.jpg作者: 叢林 時(shí)間: 2025-3-24 17:21
https://doi.org/10.1007/978-0-85729-670-2Activity Recognition; Bayesian Networks; Biometrics; Facial Expression Modelling; Gait Recognition; Multi作者: Cultivate 時(shí)間: 2025-3-24 20:41
978-1-4471-6124-0Springer-Verlag London Limited 2011作者: 食道 時(shí)間: 2025-3-25 01:50 作者: exhilaration 時(shí)間: 2025-3-25 07:04
rfahren es gibt, und welche Besonderheiten diese einzelnen Verfahrensabschnitte für den Steuerpflichtigen haben. Für die Bearbeitung eines Steuerfalls ist vor allem die genaue Kenntnis der Rechte und Pflichten des Steuerpflichtigen und der Finanzbeh?rden wichtig.作者: FLIP 時(shí)間: 2025-3-25 07:39 作者: Insatiable 時(shí)間: 2025-3-25 13:48 作者: 旅行路線 時(shí)間: 2025-3-25 16:51
Shaogang Gong,Tao XiangPresents a comprehensive and unified treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives.Provides analysis of current benchmarking databases and co作者: 博愛(ài)家 時(shí)間: 2025-3-25 20:57 作者: Panacea 時(shí)間: 2025-3-26 00:55
Shaogang Gong,Tao XiangDie in den Kapiteln B 1–11 vorgenommene Aufteilung l??t für das verbliebene Kapitel 12 einen v?llig inhomogenen Rest ?sonstiger“ Beratungsergebnisse zurück. Da in der Medizin die Krankheits- und auch Klassifizierungsbegriffe sehr verschiedener Natur sind, gibt es in allen Systematiken Restrubiken, die bunt zusammengesetzt sind.作者: 蛙鳴聲 時(shí)間: 2025-3-26 04:39 作者: COMA 時(shí)間: 2025-3-26 09:30 作者: 側(cè)面左右 時(shí)間: 2025-3-26 16:09 作者: 顧客 時(shí)間: 2025-3-26 16:57 作者: discord 時(shí)間: 2025-3-26 23:59 作者: 浮雕寶石 時(shí)間: 2025-3-27 02:28
Understanding Facial Expressionvariations, but also maximise differences between two different types of expressions, known as between-class variations. If indiscriminative image features are selected for a representation, it is difficult to achieve good recognition regardless the choice of a classification mechanism. In this chap作者: 過(guò)多 時(shí)間: 2025-3-27 08:04 作者: 情感脆弱 時(shí)間: 2025-3-27 11:30
Action Recognitionmed, representation and modelling of actions differ from those for facial expression and gesture. In this chapter, we study three different approaches to modelling and interpreting actions when observed under different viewing conditions. These conditions range from a relatively static scene against作者: LVAD360 時(shí)間: 2025-3-27 15:18 作者: GAVEL 時(shí)間: 2025-3-27 18:52
Unsupervised Behaviour Profilingause manual labelling of behaviour patterns is often impractical given the vast amount of video data, and is subject to inconsistency and error prone. The method performs incremental learning to cope with changes of behavioural context. It also detects anomalies on-line so that (a decision on whethe作者: GLUE 時(shí)間: 2025-3-28 01:32 作者: 使?jié)M足 時(shí)間: 2025-3-28 03:54
Learning Behavioural Contextrs of certain characteristics are expected in one region but differ from those observed in other regions. Behaviour correlational context specifies how the interpretation of a behaviour can be affected by behaviours of other objects either nearby in the same semantic region or further away in other 作者: 忙碌 時(shí)間: 2025-3-28 09:07
Modelling Rare and Subtle Behavioursith a behaviour of interest captured in video data, and a few more pixels differentiating a rare behaviour from a typical one. To eliminate the prohibitive manual labelling cost, both in time and inconsistency, required by traditional supervised methods, we describe a weakly supervised framework, in作者: 國(guó)家明智 時(shí)間: 2025-3-28 11:49 作者: Small-Intestine 時(shí)間: 2025-3-28 15:46 作者: 集中營(yíng) 時(shí)間: 2025-3-28 22:50
Person Re-identificationn, regardless feature representation. This approach to person re-identification shifts the burden of computation from finding some universally optimal imagery features to discovering a matching mechanism for selecting adaptively different features that are locally optimal for each and every pairs of作者: Campaign 時(shí)間: 2025-3-28 23:59
Connecting the Dotsic regions. In this chapter, we describe three different approaches to building a model for discovering and describing global behaviour patterns emerging from a distributed network of local activity regions. We examine their model characteristics for coping with uncertainty and complexity in tempora作者: anus928 時(shí)間: 2025-3-29 04:10 作者: CRUE 時(shí)間: 2025-3-29 09:54 作者: Perennial長(zhǎng)期的 時(shí)間: 2025-3-29 12:48 作者: Harridan 時(shí)間: 2025-3-29 18:31 作者: NAV 時(shí)間: 2025-3-29 22:11 作者: 效果 時(shí)間: 2025-3-30 01:39 作者: freight 時(shí)間: 2025-3-30 07:51
Understanding Facial Expressionface to face. Expression can be recognised by either static face images in isolation, or sequences of face images. For the former, it is assumed that the static visual appearance of a face contains enough information for conveying an expression. The latter exploits information from facial movement g作者: 無(wú)能的人 時(shí)間: 2025-3-30 08:22
Modelling Gesture. Automatic interpretation of gesture provides an important means for interaction and communication between human and computer, going beyond the conventional text and graphic based interface. Broadly speaking, human gesture can be composed of movements from any body part of a person, although the mo作者: 尾巴 時(shí)間: 2025-3-30 14:16
Action Recognitionlance, video indexing and browsing, and analysis of sporting events. Whilst facial expression and gesture are mainly associated with movement of one or a number of individual body parts, actions are typically associated with whole body movement, for instance, walking, sitting down, riding a horse. A作者: guzzle 時(shí)間: 2025-3-30 17:39
Supervised Learning of Group Activityg or co-existing in a shared space. Group activity modelling is concerned with modelling not only the actions of individual objects in isolation, but also the interactions and causal relationships among individual actions. In order to make semantic sense of visual observations of group activities, a作者: G-spot 時(shí)間: 2025-3-30 21:09
Unsupervised Behaviour Profilingtecting unseen abnormal behaviour patterns whilst recognising novel instances of expected normal behaviour patterns. In this context, an anomaly is defined as an atypical behaviour pattern that is not represented by sufficient examples in previous observations. Behaviour profiling is by unsupervised作者: EWER 時(shí)間: 2025-3-31 04:31
Hierarchical Behaviour Discoveryng behaviour’ to a human observer can be influenced by a wide variety of factors including: (1) the activity of a single object over time; (2) the correlated spatial states of multiple objects, for example, a?piece of abandoned luggage is defined by separation from its owner; and (3) higher order sp作者: 追逐 時(shí)間: 2025-3-31 05:44
Learning Behavioural Contextation of behaviour depends largely on knowledge of spatial and temporal context defining where and when it occurs, and correlational context specifying the expectation on the behaviours of correlated other objects in its vicinity. In this chapter, we address the problem of how to model computational作者: Exhilarate 時(shí)間: 2025-3-31 12:24
Modelling Rare and Subtle Behavioursuine interest. This is of practical value because the behaviours of greatest interest for detection are normally rare, for example civil disobedience, shoplifting, driving offenses, and may be intentionally disguised to be visually subtle compared to more obvious ongoing behaviours in a public space作者: Instrumental 時(shí)間: 2025-3-31 15:36
Man in the Loopes reflect normal behaviours. Unusual behaviours, either because of being rare or abnormal, only constituent a small portion in the observed data. Whilst an unsupervised learning based model can be constructed to detect unusual behaviours through a process of outlier detection, an outlier detection
