Pattern Recognition and Machine Intelligence

Color Image Segmentation Using a Semi-wrapped Gaussian Mixture Model (Image Analysis)

Abstract This article deals with color image segmentation in the hue-saturation-value space. Hue, saturation and value components are samples on a cylinder. A model for such data is provided by the semi-wrapped Gaussian distribution. Further its mixture is used to approximate the hue-saturation-value distribution. The mixture parameters are estimated using the standard EM algorithm. The […]

Perception-Based Design for Tele-presence (Image Analysis)

Abstract We present a novel perception-driven approach to low-cost tele-presence systems, to support immersive experience in continuity between projected video and conferencing room. We use geometry and spectral correction to impart for perceptual continuity to the whole scene. The geometric correction comes from a learning-based approach to identifying horizontal and vertical surfaces. Our method redraws […]

Automatic Adductors Angle Measurement for Neurological Assessment of Post-neonatal Infants during Follow Up (Image Analysis)

Abstract In many medical examinations, image or video based automatic schemes are preferred over conventional approaches. Such schemes can greatly increase the efficacy and accuracy of various medical examinations. The work proposed in this article presents an image processing based method to automate adductors angle measurement which is carried out on infants as a part […]

Interactive Image Retrieval with Wavelet Features (Image and Video Information Retrieval)

Abstract This paper presents an iterative Content Based Image Re-trival(CBIR) system with Relevance Feedback (RF), in which M-band wavelet features are used as representation of images. The pixels are clustered using Fuzzy C-Means (FCM) clustering algorithm to obtain an image signature and Earth Mover’s Distance (EMD) is used as a distance measure. Fuzzy entropy based […]

Moving Objects Detection from Video Sequences Using Fuzzy Edge Incorporated Markov Random Field Modeling and Local Histogram Matching (Image and Video Information Retrieval)

Abstract In this article, we put forward a novel region matching based motion estimation scheme to detect objects with accurate boundaries from video sequences. We have proposed a fuzzy edge incorporated Markov Random Field (MRF) model based spatial segmentation scheme that is able even to identify the blurred boundaries of objects in a scene. Expectation […]

Combined Topological and Directional Relations Based Motion Event Predictions (Image and Video Information Retrieval)

Abstract Spatial changes plays a fundamental role in modeling the spatio-temporal relations and spatio-temporal or motion event predictions. These predictions can be made through the conceptual neighborhood graph using the common sense continuity. This paper investigates that the extension in the temporal interval can effect the whole spatio-temporal relation and motion events. Spatio-temporal predicates form […]

Recognizing Hand Gestures of a Dancer (Image and Video Information Retrieval)

Abstract A new and simple two-level decision making system has been designed for performing scale-, translation- and rotation-invariant recognition of various single-hand gestures of a dancer. The orientation filter is used at the first-level to generate a feature vector that is able to distinguish between several gestures. At the second-level the silhouette of the different […]

Spatiotemporal Approach for Tracking Using Rough Entropy and Frame Subtraction (Image and Video Information Retrieval)

Abstract We present here an approach for video image segmentation where spatial segmentation is based on rough sets and granular computing and temporal segmentation is done by consecutive frame subtraction. Then the intersection of the temporal segmentation and spatial segmentation for the same frame is analyzed in RGB feature space. The estimated statistics of the […]

OSIMA: Human Pose Estimation from a Single Image (Image and Video Information Retrieval)

Abstract Human upper body pose estimation plays a key role in applications related to human-computer interactions. We propose to develop an avatar based video conferencing system where a user’s avatar is animated following his/her gestures. Tracking gestures calls for human pose estimation through image based measurements. Our work is motivated by the pictorial structures approach […]

Scene Categorization Using Topic Model Based Hierarchical Conditional Random Fields (Image and Video Information Retrieval)

Abstract We propose a novel hierarchical framework for scene categorization. The scene representation is defined by latent topics extracted by Latent Dirichlet Allocation. The interaction of these topics across scene categories is learned by probabilistic graphical modelling. We use Conditional Random Fields in a hierarchical setting for discovering the global context of these topics. The […]

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