Hand detection and segmentation using multimodal information from Kinect

2020 ◽  
Author(s):  
Van-Tien Pham ◽  
Thi-Lan Le ◽  
Thanh-Hai Tran ◽  
Thanh Phuong Nguyen
Keyword(s):  
Hand Detection ◽  
Multimodal Information

Rule Based Classifiers for Suspect Detection from CCTV Footages

2020 ◽  
Vol 13 ◽  
Author(s):  
Sunil Pathak
Keyword(s):  
Answer Sheet ◽  
Normal Activity ◽  
Contact Detection ◽  
Accuracy Rate ◽  
Hand Detection ◽  
Worst Case ◽  
Average Case ◽  
The Face ◽  
Case Simulation ◽  
Material Exchange

Background: The significant work has been present to identify suspects, gathering information and examining any videos from CCTV Footage. This exploration work expects to recognize suspicious exercises, i.e. object trade, passage of another individual, peeping into other's answer sheet and individual trade from the video caught by a reconnaissance camera amid examinations. This requires the procedure of face acknowledgment, hand acknowledgment and distinguishing the contact between the face and hands of a similar individual and that among various people. Methods: Segmented frames has given as input to obtain foreground image with the help of Gaussian filtering and background modeling method. Suh foreground images has given to Activity Recognition model to detect normal activity or suspicious activity. Results: Accuracy rate, Precision and Recall are calculate for activities detection, contact detection for Best Case, Average Case and Worst Case. Simulation results are compare with performance parameter such as Material Exchange, Position Exchange, and Introduction of a new person, Face and Hand Detection and Multi Person Scenario. Conclusion: In this paper, a framework is prepared for suspect detection. This framework will absolutely realize an unrest in the field of security observation in the training area.

scholarly journals What People Look at in Multimodal Online Dating Profiles: How Pictorial and Textual Cues Affect Impression Formation

2021 ◽  
pp. 009365022199531
Author(s):  
Tess van der Zanden ◽  
Maria B. J. Mos ◽  
Alexander P. Schouten ◽  
Emiel J. Krahmer
Keyword(s):  
Information Processing ◽  
Eye Tracking ◽  
Impression Formation ◽  
Online Dating ◽  
Information Processing Model ◽  
Secondary Role ◽  
Multimodal Information ◽  
Different Dimensions ◽  
Multimodal Information Processing ◽  
Textual Cues

This study investigates how online dating profiles, consisting of both pictures and texts, are visually processed, and how both components affect impression formation. The attractiveness of the profile picture was varied systematically, and texts either included language errors or not. By collecting eye tracking and perception data, we investigated whether picture attractiveness determines attention to the profile text and if the text plays a secondary role. Eye tracking results revealed that pictures are more likely to attract initial attention and that more attractive pictures receive more attention. Texts received attention regardless of the picture’s attractiveness. Moreover, perception data showed that both the pictorial and textual cues affect impression formation, but that they affect different dimensions of perceived attraction differently. Based on our results, a new multimodal information processing model is proposed, which suggests that pictures and texts are processed independently and lead to separate assessments of cue attractiveness before impression formation.

Training more discriminative multi-class classifiers for hand detection

2015 ◽  
Vol 48 (3) ◽  
pp. 785-797 ◽  
Author(s):  
Kuizhi Mei ◽  
Ji Zhang ◽  
Guohui Li ◽  
Bao Xi ◽  
Nanning Zheng ◽  
...  
Keyword(s):  
Hand Detection
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