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This paper investigates a human hand motion capture based on back projection of human hand's silhouette images extracted from multi-camera images. The multi-camera system consists of a server-client system to run the motion capture in real time, and small USB cameras are utilized to make the system compact and low cost. To achieve robust extraction of the hand's silhouette that is used in silhouette...
In this paper we propose a new method for human action categorization by using an effective combination of a new 3D gradient descriptor with an optic flow descriptor, to represent spatio-temporal interest points. These points are used to represent video sequences using a bag of spatio-temporal visual words, following the successful results achieved in object and scene classification. We extensively...
The silhouette of the face profile is a well-known biometric that is already in use in face recognition research. One of the challenges for successful employment of this biometric is the sensitivity of its geometry to face rotation. In this paper, we introduce a new method that improves robustness to rotation. We achieve this by exploring the feature space of profiles under various rotations with...
Rapidly development in the realm of biometrics in recent years results in the unprecedented growth with the number of researchers and interesters. As one of the biometrics, gait recognition has many advantages such as from a distance, lower quality video, hard to disguised comparing with others. However, nearly all studies on gait recognition are 2D methods based on analysis of image sequences captured...
With recent advances in 3D modeling and scanning technologies, large number of 3D models are created and stored in different databases. This has created an impetus to develop effective 3D shape analysis and 3D shape retrieval algorithms for these domains. This has made the field of 3D shape analysis and retrieval become an active area of research in the 3D community. In this paper we will survey few...
This paper presents a method for multi-view 3D modeling of human bodies using virtual stereopsis. The algorithm expands and improves the method used in, but unlike that method, our approach does not require multiple calibrated cameras and/or carefully-positioned turn tables. Instead, an algorithm using SIFT feature extraction is employed and an accurate motion estimation is performed to calculate...
3D hand gesture tracking is one of the key problems in human-computer interface design and has attracted increasing attention as an alternative way to traditional input devices, such as mouses and keyboards. Generally speaking, a human hand, as a typical articulated structure, has 15 joints and high dimensionality with 26DOFs, which makes it very difficult for real time tracking. A novel approach...
Bag-of-Visual-Features (BoVF) representations have achieved a great success when used for object recognition, mainly because of their robustness to several kinds of variations and occlusion. Recently, a number of BoVF approaches has been proposed also for recognition of human actions from videos. One important issue that arises when using BoVF for videos is how to take dynamic information into account,...
The recognition of human actions from videos has several interesting and important applications, and a vast amount of different approaches has been proposed for this task in different settings. Such approaches can be broadly categorized in model-based and model-free. Typically, model-based approaches work only in very constrained settings, and because of that, a number of model-free approaches appeared...
This paper presents a fuzzy KNN and Bayesian decision based classification method for determining whether a 3D object belongs to human class. To achieve efficiency and simplicity, the view having maximum area is used to substitute a 3D shape, which is front-side view for human models. View features and structural features are utilized to describe those selected views. For shape feature can not distinguish...
Automatic people detection and tracking is a very essential task of video surveillance systems. It can improve a system's performance in important fields such as security, safety, human activity monitoring etc. In this paper we present a novel approach for people detection and 3D tracking. Our method is based on a human upper body 3D model and a likelihood function to evaluate its presence in a certain...
Video processing for surveillance and security applications has become a research hotspot in the last decade. This paper reports a research into volume-based segmentation techniques for video event detection. It starts with an introduction of the structure in 3D video volumes denoted by spatio-temporal features extracted from video footages. The focus of the work is on devising an effective and efficient...
Nowadays, the carpet quality analysis is determined in industry by human experts, because the automated assessment is not capable of matching the human expertise. Therefore, the carpet company demands a reliable and economic standardization of carpet wear level. This paper presents a new strategy for analyzing and classifying the texture of the wear carpet surface of 3D image, where 3D image is produced...
We propose a human activity classification algorithm that has a distributed and lightweight implementation appropriate for wireless camera networks. With input from multiple cameras, our algorithm achieves invariance to the orientation of the actor and to the camera viewpoint. We conceptually describe how the algorithm can be implemented on a distributed architecture, obviating the need for centralized...
We present a feature and parameterization approach for constructing garment surface with garment sections from human body sections. The body section is obtained from polygonal 3D human models with the horizontal cutting plane based on detecting feature points on human model. Then we make the interstice measure which converts from garment tolerance as the parameter to build garment sections from body...
This paper presents a robust hand gesture analysis method using 3D depth data. Our scheme focuses on accurate hand segmentation by eliminating the negative effect of the forearm part. In the general human computer interaction (HCI) tasks, such an assumption usually holds that the depth of hand is smaller than forearm. Therefore, the precise hand region can be obtained through the fusion of the hand...
This paper proposes a Euclidean-geodesic shape distribution for the more accurate retrieval of time-varying meshes, which are 3D mesh sequences of real-world objects generated by multiple cameras. The Euclidean-geodesic shape distribution derives from a combination of the modified shape distribution algorithm, which analyzes the global shape features of 3D models, and the geodesic shape distribution...
Action recognition has attracted much attention for human behavior analysis in recent years. Local spatial-temporal (ST) features are widely adopted in many works. However, most existing works which represent action video by histogram of ST words fail to have a deep insight into a fine structure of actions because of the local nature of these features. In this paper, we propose a novel method to simultaneously...
Automatic human face recognition is required in numerous applications. In this paper, a new approach for automatic face recognition system is developed based on 3D geometric face features. The objectives of this system are generating the real time automatic personal identification system, improvement of fast and accurate face recognition. The system developed the algorithm for computing the accurate...
The tracking and recognition of human motion, action, and events using computer vision has recently gained widespread interest in both academic research and industrial, with much emphasis on real-time systems. This paper presents a fast and accurate method for tracking the motion path of a person from the video stream. The motion data of the people are acquired in possible cases such as occlusion...
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