Journal ArticleDOI
The TUM Gait from Audio, Image and Depth (GAID) database
TLDR
This work provides a means for multimodal gait recognition, by introducing the freely available TUM Gait from Audio, Image and Depth (GAID) database, which simultaneously contains RGB video, depth and audio.About:
This article is published in Journal of Visual Communication and Image Representation.The article was published on 2014-01-01. It has received 195 citations till now. The article focuses on the topics: Gait (human).read more
Citations
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Proceedings ArticleDOI
GEINet: View-invariant gait recognition using a convolutional neural network
TL;DR: It is confirmed that the proposed method of gait recognition using a convolutional neural network significantly outperformed state-of-the-art approaches, in particular in verification scenarios.
Journal ArticleDOI
Biometric recognition by gait: A survey of modalities and features
Patrick C. Connor,Arun Ross +1 more
TL;DR: An extensive overview of the various types of features that have been utilized for each sensing modality and their relationship to the appearance and biomechanics of gait is provided.
Proceedings ArticleDOI
Gait Recognition via Disentangled Representation Learning
TL;DR: In this article, a novel AutoEncoder framework is proposed to explicitly disentangle pose and appearance features from RGB imagery and the LSTM-based integration of pose features over time produces the gait feature.
Journal ArticleDOI
A Survey on Gait Recognition
TL;DR: A review of research works in gait recognition addresses the current state-of-art, new modalities, such as recognition based on floor sensors, radars, and accelerometers; new approaches that include machine learning methods; and examine challenges and vulnerabilities in this field.
Book ChapterDOI
The Re-identification Challenge
TL;DR: This chapter presents an overview of recent progress and the state-of-the-art approaches to solving some of the fundamental challenges in person re-identification, benefiting from research in computer vision, pattern recognition and machine learning, and drawing insights from video analytics system design considerations for engineering practical solutions.
References
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Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
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The WEKA data mining software: an update
TL;DR: This paper provides an introduction to the WEKA workbench, reviews the history of the project, and, in light of the recent 3.6 stable release, briefly discusses what has been added since the last stable version (Weka 3.4) released in 2003.
Proceedings ArticleDOI
Adaptive background mixture models for real-time tracking
Chris Stauffer,W.E.L. Grimson +1 more
TL;DR: This paper discusses modeling each pixel as a mixture of Gaussians and using an on-line approximation to update the model, resulting in a stable, real-time outdoor tracker which reliably deals with lighting changes, repetitive motions from clutter, and long-term scene changes.
Journal ArticleDOI
The random subspace method for constructing decision forests
TL;DR: A method to construct a decision tree based classifier is proposed that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity.
Journal ArticleDOI
Region filling and object removal by exemplar-based image inpainting
TL;DR: The simultaneous propagation of texture and structure information is achieved by a single, efficient algorithm that combines the advantages of two approaches: exemplar-based texture synthesis and block-based sampling process.
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Shiqi Yu,Daoliang Tan,Tieniu Tan +2 more