Proceedings ArticleDOI
Person Authentication Using Head Images
Aakarsh Malhotra,Richa Singh,Mayank Vatsa,Vishal M. Patel +3 more
- pp 409-417
TLDR
The experiments suggest that head images can be effectively used to ascertain human identity and the availability of this database could pave further research in this field.Abstract:
In many surveillance applications, the cameras are placed at overhead heights for human identification. In such real-world scenarios, the person of interest might be walking away from the camera and the only information available is "image of the person's head". In this research, we investigate the usage of head images for person recognition and propose it as a soft-biometric modality. With its viability for human recognition, application of head images can also be extended with other face recognition algorithms for surveillance. We propose a head image database pertaining to 103 subjects with more than 600 images. In addition to the database, we propose a framework for head image-based person verification. As a pre-processing stage, the framework includes evaluation of two segmentation algorithms. We also perform benchmarking evaluations of various texture, key-point, and learning-based representation algorithms and establish the baseline results. The experiments suggest that head images can be effectively used to ascertain human identity and the availability of this database could pave further research in this field.read more
Citations
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Soft-biometrics : unconstrained authentication in a surveillance environment
TL;DR: In this paper, the authors proposed three part (head, torso, legs) height and colour soft biometric models, and demonstrate their verification performance on a subset of the PETS 2006 database.
Journal ArticleDOI
Robust Head Detection in Complex Videos Using Two-Stage Deep Convolution Framework
TL;DR: This paper presents a two-stage head detection framework that utilizes fully convolutional network (FCN) to generate scale-aware proposals followed by CNN that classifies each proposal into two classes, i.e. head and background.
Proceedings ArticleDOI
Which Body Is Mine
TL;DR: A dual-pathway framework which computes head and body discriminating features independently, and learns the correlation between such features, and achieves promising experimental results on small and challenging datasets.
References
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Book ChapterDOI
Headprint – person reacquisition using visual features of hair in overhead surveillance video
TL;DR: Although hair can hardly be trusted to be a reliable long-term indicator of human identity, it is shown that the visual characteristics of hair can be effectively used to unobtrusively re-establish human ID in the task of short-term recognition and reacquisition in a video-based multiple-person continuous tracking application.
Proceedings ArticleDOI
Personal Recognition using Head-Top Image for Health-Monitoring System in the Home
Kazuki Nakajima,K. Sasaki +1 more
TL;DR: A personal recognition method based on the space spectrum of the head-top image of the elderly is proposed, which achieved a personal recognition rate of 86.4 percent when one subject with thinning hair was excluded.
Proceedings ArticleDOI
Personal Recognition Rate Improvement Using Head-Top Image and An Application to Walking Subject
TL;DR: A personal identification method using head-top image is improved for the smart house and the personal recognition rate was improved to 100 percent by using the same image database of the previous report.
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