Book ChapterDOI
A novel approach for human silhouette extraction from video data
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TLDR
In this paper, the authors proposed a method for efficient extraction of human silhouette from video sequences using background elimination, edge detection, region filling and noise removal using morphological operations to estimate the silhouette of an image.Abstract:
In this paper we propose a method for efficient extraction of human silhouette from video sequences. The proposed approach includes background elimination, edge detection, region filling and noise removal using morphological operations to estimate the silhouette of an image. To the best of our knowledge our proposed approach for silhouette extraction involving background elimination and edge detection is first of its kind. We have applied our proposed technique on Weizmann (standard) dataset and compared the results with the most recent related research work. The comparison results in terms of statistical measures like precision, recall and F-measure clearly show the supremacy of our method and thus justify its novelty.read more
References
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TL;DR: W/sup 4/ employs a combination of shape analysis and tracking to locate people and their parts and to create models of people's appearance so that they can be tracked through interactions such as occlusions.
Proceedings ArticleDOI
Actions as space-time shapes
TL;DR: The method is fast, does not require video alignment and is applicable in many scenarios where the background is known, and the robustness of the method is demonstrated to partial occlusions, non-rigid deformations, significant changes in scale and viewpoint, high irregularities in the performance of an action and low quality video.
Journal ArticleDOI
Silhouette analysis-based gait recognition for human identification
TL;DR: A simple but efficient gait recognition algorithm using spatial-temporal silhouette analysis is proposed that implicitly captures the structural and transitional characteristics of gait.
Proceedings Article
A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection
Proceedings ArticleDOI
Silhouette-based human identification from body shape and gait
TL;DR: This baseline recognition method provides a lower bound against which to evaluate more complicated procedures and is evaluated on four databases with varying viewing angles, background conditions, walking styles and pixels on target.
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