Human Recognition at a Distance in Video by Bir Bhanu

By Bir Bhanu

Most biometric structures hired for human popularity require actual touch with, or shut proximity to, a cooperative topic. way more tough is the power to reliably realize members at a distance, while seen from an arbitrary attitude lower than real-world environmental stipulations. Gait and face information are the 2 biometrics that may be most simply captured from a distance utilizing a video camera.

This complete and logically geared up text/reference addresses the basic difficulties linked to gait and face-based human reputation, from colour and infrared video information which are received from a distance. It examines either model-free and model-based methods to gait-based human popularity, together with newly built thoughts the place either the version and the information (obtained from a number of cameras) are in 3D. furthermore, the paintings considers new video-based concepts for face profile popularity, and for the super-resolution of facial imagery acquired at assorted angles. eventually, the e-book investigates built-in platforms that become aware of and fuse either gait and face biometrics from video information.

Topics and features:

  • Discusses a framework for human gait research in response to Gait strength photo, a spatio-temporal gait representation
  • Evaluates the discriminating energy of model-based gait positive aspects utilizing Bayesian statistical analysis
  • Examines tools for human popularity utilizing 3D gait biometrics, and for moving-human detection utilizing either colour and thermal photograph sequences
  • Describes ways for the mixing of face profile and gait biometrics, and for super-resolution of frontal and side-view face images
  • Introduces an goal non-reference caliber review set of rules for super-resolved images
  • Presents functionality comparisons among various biometrics and diversified fusion tools for integrating gait and super-resolved face from video

This specific and authoritative textual content is a useful source for researchers and graduate scholars of laptop imaginative and prescient, trend acceptance and biometrics. The e-book can be of serious curiosity to expert engineers of biometric systems.

Dr. Bir Bhanu is extraordinary Professor of electric Engineering, and Director of the guts for study in clever structures, on the collage of California, Riverside, USA.

Dr. Ju Han is a expert on the strength Biosciences Institute, a joint appointment with the Lawrence Berkeley nationwide Laboratory and the college of California, Berkeley, united states.

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Extra info for Human Recognition at a Distance in Video

Example text

Yoo et al. [193] estimate hip and knee angles from the body contour by linear regression analysis. Then trigonometric-polynomial interpolant functions are fitted to the angle sequences, and the parameters so-obtained are used for recognition. In Lee and Grimson’s work [96], human silhouette is divided into local regions corresponding to different human body parts, and ellipses are fitted to each region to represent the human structure. Spatial and spectral features are extracted from these local regions for recognition and classification.

Resize the remaining template of (X − r) × Y to X × X−r interpolation 7. Equally cut left and right borders to generate a synthetic template Si of size X × Y 8. Let i = i + 1 9. If k ∗ i ≤ h, go to step 5; otherwise, stop Fig. 4 Pseudo code for generating synthetic GEI templates Synthetic gait templates are computed from R0 of a given silhouette sequence by following a distortion model based on anthropometric data [136]. The length from the bottom of bare foot to the ankle above the sole is approximately 1/24 of the stature.

In this section, we propose a general GEI-based framework for both human recognition by gait and human activity recognition. Applications of the proposed general framework in different scenarios will be further discussed as case studies in the next chapter. 2 Human Activity and Individual Recognition by Gait In recent years, various approaches have been proposed for human motion understanding. These approaches generally fall under two major categories: model-based approaches and model-free approaches.

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