Abstract
This chapter presents the proposed methodology to detect personality and basic emotion characteristics of crowds in video sequences, features from the III – Personal and Emotional 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 describes how the extracted data is mapped into personality (OCEAN) and emotion (OCC) traits. Section 7.3 discusses some results and analysis performed 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.
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