標(biāo)題: Titlebook: Emotion, Personality and Cultural Aspects in Crowds; Towards a Geometrica Rodolfo Migon Favaretto,Soraia Raupp Musse,Angelo Book 2019 Spri [打印本頁(yè)] 作者: 撒謊 時(shí)間: 2025-3-21 20:07
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書(shū)目名稱Emotion, Personality and Cultural Aspects in Crowds讀者反饋
書(shū)目名稱Emotion, Personality and Cultural Aspects in Crowds讀者反饋學(xué)科排名
作者: Kindle 時(shí)間: 2025-3-21 23:24
Crowds and Groups of Peoplend presents the concept of ., which deals with interpersonal distances, which may vary across cultures. Also it presents the fundamental diagrams concept, describing the relationship between speed, density, and flow of pedestrians in a crowd, which may also be influenced by cultural aspects.作者: Dislocation 時(shí)間: 2025-3-22 01:51
Tracking and Data Extractionter that, homogeneous planar projection is performed in order to obtain the parameters in world coordinates (once the trajectories obtained in the tracking process are in image coordinates). Section 5.3 describes the detection of groups and the extraction of their information.作者: 無(wú)能力 時(shí)間: 2025-3-22 05:55
Final Remarksnd crowd characteristics, regarding personalities, emotions, and cultural aspects. The main goal of this research was to propose a model that could detect pedestrian features in crowds from video sequences, allowing the comparison and analysis of pedestrian characteristics from different crowds or countries.作者: 政府 時(shí)間: 2025-3-22 09:10
https://doi.org/10.1007/978-3-319-73845-1re would probably be differences masked by the features of the places where the videos were recorded. In addition, this chapter presents an approach to detect the crowd types described in Sect. 2.3. The type of the crowd is used to compute the video similarity.作者: Androgen 時(shí)間: 2025-3-22 14:38 作者: Androgen 時(shí)間: 2025-3-22 19:47
Video Similarity and Crowd Typesre would probably be differences masked by the features of the places where the videos were recorded. In addition, this chapter presents an approach to detect the crowd types described in Sect. 2.3. The type of the crowd is used to compute the video similarity.作者: SLING 時(shí)間: 2025-3-22 23:19
Video Analysis Dataset and Applications from various countries. We show how the dataset is organized. Section 10.2 is responsible for present ., a software developed in MATLAB App Designer with a simple interface to detect and analyze the geometrical dimensions in videos. Lastly, Sect. 10.3 presents a crowd features viewer.作者: Stagger 時(shí)間: 2025-3-23 01:42 作者: Migratory 時(shí)間: 2025-3-23 09:03
Linear Models for Outlier Detection,yze and discuss some results from the FD experiment. Section 9.3 addresses an analysis involving personal space in a comparison with Sorokowska et al. (J Cross-Cultural Psychol 48:577–592, 2017). Finally, Sect. 9.4 presents an analysis regarding personality and emotion traits in the fundamental diagram.作者: brachial-plexus 時(shí)間: 2025-3-23 12:54 作者: erythema 時(shí)間: 2025-3-23 17:37 作者: 不易燃 時(shí)間: 2025-3-23 19:59 作者: Hirsutism 時(shí)間: 2025-3-24 01:30 作者: 裂縫 時(shí)間: 2025-3-24 05:25
https://doi.org/10.1007/978-1-4020-8602-1s of cultural aspects, we used the Cultural Dimensions of Hofstede (HCD) (Culture’s consequences: comparing values, behaviors, institutions, and organizations across nations. Sage Publications, Thousand Oaks), which is described in Sect. 3.2.作者: 支柱 時(shí)間: 2025-3-24 08:08
Outlaw Bikers and Ancient Warbandsd in spontaneous videos, comparing the results with the psychology literature in this area. Finally, Sect. 7.4 shows an analysis about the perception of personality and emotion features by the users in videos of pedestrians.作者: Ccu106 時(shí)間: 2025-3-24 10:39
The biology of insect populations,-FFI). Psychological Assessment Resources, ., 1992) as an input to simulate pedestrian behaviors. Finally, Sect. 11.3 describes how we use the Cultural Dimensions of Hofstede (Cultures and organizations: software of the mind, vol 2. London: McGraw-Hill, London 1991) to generate crowd simulation.作者: Decimate 時(shí)間: 2025-3-24 16:24
Emotion, Personality, and Cultural Aspects in Crowdss of cultural aspects, we used the Cultural Dimensions of Hofstede (HCD) (Culture’s consequences: comparing values, behaviors, institutions, and organizations across nations. Sage Publications, Thousand Oaks), which is described in Sect. 3.2.作者: 歌唱隊(duì) 時(shí)間: 2025-3-24 20:48
Detecting Personality and Emotion Traitsd in spontaneous videos, comparing the results with the psychology literature in this area. Finally, Sect. 7.4 shows an analysis about the perception of personality and emotion features by the users in videos of pedestrians.作者: Jocose 時(shí)間: 2025-3-25 00:28
Simulating Personality and Cultural Aspects in Crowds-FFI). Psychological Assessment Resources, ., 1992) as an input to simulate pedestrian behaviors. Finally, Sect. 11.3 describes how we use the Cultural Dimensions of Hofstede (Cultures and organizations: software of the mind, vol 2. London: McGraw-Hill, London 1991) to generate crowd simulation.作者: CYN 時(shí)間: 2025-3-25 03:35
evant analysis including comparison of spontaneous and contr.This practically-focused book presents a computational model for detection and analysis of pedestrian features in crowds from video sequences..The study of human behavior is a subject of great scientific interest and probably an inexhausti作者: Fabric 時(shí)間: 2025-3-25 11:24 作者: ILEUM 時(shí)間: 2025-3-25 11:57 作者: CLOWN 時(shí)間: 2025-3-25 16:17 作者: 名字 時(shí)間: 2025-3-25 22:23
Analyzing and Interpreting Outcomesal Process Mag 27(5):66–77, 2010). Due to its importance in many applications, the automatic analysis of human behavior has been a popular research topic in the last decades by Alameda-Pineda et al. (Multimodal behavior analysis in the wild: advances and challenges. Elsevier Science, London, 2018). 作者: 不滿分子 時(shí)間: 2025-3-26 02:30 作者: committed 時(shí)間: 2025-3-26 08:16 作者: lymphedema 時(shí)間: 2025-3-26 08:30 作者: 廢除 時(shí)間: 2025-3-26 14:36
Champions: Vom Opfer zum Akteurg the characteristics of a pedestrian or a crowd in the video is the detection of people and, based on this, the achievement of their trajectories. After that, homogeneous planar projection is performed in order to obtain the parameters in world coordinates (once the trajectories obtained in the tra作者: outer-ear 時(shí)間: 2025-3-26 16:56
https://doi.org/10.1007/978-3-319-73845-1ring two crowds of different countries to find cultural differences, it is necessary that they have similar characteristics, for example, it would not be correct to compare a crowd with many hurried people at a train station in China with a crowd of people strolling leisurely in a park in Italy; the作者: Prologue 時(shí)間: 2025-3-27 00:22
Outlaw Bikers and Ancient Warbands . dimension. Firstly, individuals are detected and tracked, and then such information is mapped to OCEAN dimensions, used to find out personality and emotion in videos, based on OCC emotion model. Section 7.1 presents the proposed approach to extract data from pedestrians in the video. Section 7.2 作者: Osteoporosis 時(shí)間: 2025-3-27 01:50
Organized Crime and Outlaw Motorcycle Gangs, software of the mind, vol 2. London: McGraw-Hill, London 1991). In our model, the Hofstede Cultural Dimensions (presented in Sect. 3.2) is related to the . geometrical dimension. In order to successfully map the characteristics of pedestrians and groups in cultural aspects, we considered some infor作者: 阻礙 時(shí)間: 2025-3-27 09:05
Linear Models for Outlier Detection,ent countries, India, Brazil, and Germany, in a controlled experiment. In this evaluation, due to the performed experiment, i.e., only one group at each time executing the same task, we analyzed only individuals and not more than one group in each video, the reason why the . dimension (HCD) was not 作者: 錯(cuò)事 時(shí)間: 2025-3-27 13:13
An Introduction to Outlier Ensembles,les with tracking, pedestrian, and crowd features and geometric dimensions information. In addition, we have developed software for the detection and analysis of geometric dimensions in videos, along with a visualizer of features. Section 10.1 presents the . dataset, a database of videos with crowds作者: Polydipsia 時(shí)間: 2025-3-27 14:27 作者: 斗志 時(shí)間: 2025-3-27 18:52 作者: 兇兆 時(shí)間: 2025-3-28 01:06
Outlook Outside the Office (or Home),ultures, and society itself (Forsyth, Group dynamics. Cengage Learning, Boston, 2018). In this sense, in the present book, we investigate pedestrian and crowd characteristics, regarding personalities, emotions, and cultural aspects. The main goal of this research was to propose a model that could de作者: modest 時(shí)間: 2025-3-28 05:46
Rodolfo Migon Favaretto,Soraia Raupp Musse,Angelo Presents a very innovative investigation regarding personal, emotional and cultural aspects of pedestrians from video sequences.Contains relevant analysis including comparison of spontaneous and contr作者: Debark 時(shí)間: 2025-3-28 08:30
http://image.papertrans.cn/e/image/308657.jpg作者: Allowance 時(shí)間: 2025-3-28 12:27
978-3-030-22080-8Springer Nature Switzerland AG 2019作者: 使乳化 時(shí)間: 2025-3-28 16:43
https://doi.org/10.1007/978-3-030-22078-5Crowd Analysis; Cultural differences; Group behaviours; Personality and emotional traits; Crowd simulati作者: paltry 時(shí)間: 2025-3-28 20:06 作者: 罵人有污點(diǎn) 時(shí)間: 2025-3-28 23:48
Crowds and Groups of Peoples for a better understanding of the next chapters. The content covers crowds and groups of people. This chapter characterizes crowds and their types and presents the concept of ., which deals with interpersonal distances, which may vary across cultures. Also it presents the fundamental diagrams conc作者: 群島 時(shí)間: 2025-3-29 05:42 作者: ANN 時(shí)間: 2025-3-29 07:23 作者: inclusive 時(shí)間: 2025-3-29 13:58 作者: gorgeous 時(shí)間: 2025-3-29 17:24 作者: 沒(méi)花的是打擾 時(shí)間: 2025-3-29 23:03
Detecting Personality and Emotion Traits . dimension. Firstly, individuals are detected and tracked, and then such information is mapped to OCEAN dimensions, used to find out personality and emotion in videos, based on OCC emotion model. Section 7.1 presents the proposed approach to extract data from pedestrians in the video. Section 7.2 作者: 滔滔不絕的人 時(shí)間: 2025-3-30 01:37
Detecting Hofstede Cultural Dimensions software of the mind, vol 2. London: McGraw-Hill, London 1991). In our model, the Hofstede Cultural Dimensions (presented in Sect. 3.2) is related to the . geometrical dimension. In order to successfully map the characteristics of pedestrians and groups in cultural aspects, we considered some infor作者: bacteria 時(shí)間: 2025-3-30 06:23
Fundamental Diagram Analysisent countries, India, Brazil, and Germany, in a controlled experiment. In this evaluation, due to the performed experiment, i.e., only one group at each time executing the same task, we analyzed only individuals and not more than one group in each video, the reason why the . dimension (HCD) was not
