Descriptive temporal template features for visual motion recognition
In this paper, a human action recognition system is proposed. The system is based on new, descriptive 'temporal template' features in order to achieve high-speed recognition in real-time, embedded applications. The limitations of the well-known 'Motion ...
Human action recognition by feature-reduced Gaussian process classification
This paper presents a spectral analysis-based feature-reduced Gaussian Processes (GP) classification approach to recognition of articulated and deformable human actions from image sequences. Using Tensor Subspace Analysis (TSA), space-time human ...
Semantic retrieval of events from indoor surveillance video databases
With the existence of ''semantic gap'' between the machine-readable low level features (e.g. visual features in terms of colors and textures) and high level human concepts, it is inherently hard for the machine to automatically identify and retrieve ...
Action recognition feedback-based framework for human pose reconstruction from monocular images
A novel framework based on action recognition feedback for pose reconstruction of articulated human body from monocular images is proposed in this paper. The intrinsic ambiguity caused by perspective projection makes it difficult to accurately recover ...
STARS: Sign tracking and recognition system using input-output HMMs
STARS is a vision based real time gestural interface that allows both communicative and manipulative 3D hand gestures, which vary in motion and appearance, to control target generic personal computer applications. This input-output HMM based framework ...
A bi-modal face recognition framework integrating facial expression with facial appearance
Among many biometric characteristics, the facial biometric is considered to be the least intrusive technology that can be deployed in the real-world visual surveillance environment. However, in facial biometric, little research attention has been paid ...
Similarity-based Fisherfaces
In this article, a face recognition algorithm aimed at mimicking the human ability to differentiate people is proposed. For each individual, we first compute a projection line that maximizes his or her dissimilarity to all other people in the user ...
Boosted multi-resolution spatiotemporal descriptors for facial expression recognition
Recently, a spatiotemporal local binary pattern operator from three orthogonal planes (LBP-TOP) was proposed for describing and recognizing dynamic textures and applied to facial expression recognition. In this paper, we extend the LBP-TOP features to ...
A novel approach to classification of facial expressions from 3D-mesh datasets using modified PCA
We propose a novel approach to human facial expression recognition using only the shape information at a finite set of fiducial points, extracted from the 3D neutral and expressive faces. In the course of applying the technique to the facial database, ...
Eyelid and eyelash detection method in the normalized iris image using the parabolic Hough model and Otsu's thresholding method
Eyelids and eyelashes occluding the iris region are noise factors that degrade the performance of iris recognition. If they are incorrectly classified as an iris region, the false iris region information decreases the recognition rate. Thus, reliable ...
An adaptive blink detector to initialize and update a view-basedremote eye gaze tracking system in a natural scenario
A method for blink detection from video sequences gathered with a commercial camera is presented. This is used as a view-based remote eye gaze tracker (REGT) component performing two relevant functions, i.e. initialization and automatic updating in case ...
Eye-gaze based real-time surveillance video synopsis
This paper presents a novel real-time surveillance video summarization system that employs the eye-gaze positions of the surveillance operator. The system output can be used to efficiently review the overlooked sections of the surveillance video, which ...
