Face and gesture understanding algorithms are powerful enablers in intelligent vision systems for surveillance, security, entertainment, and smart spaces. In the future, complex networks of sensors and cameras may disperse directions to lost tourists, perform directory lookups in the office lobby, or contact the proper authorities in case of an emergency. To be effective, these systems will nee...

Human pose estimation has been actively studied for decades. While traditional approaches rely on 2d data like images or videos, the development of Time-of-Flight cameras and other depth sensors created new opportunities to advance the field. We give an overview of recent approaches that perform human motion analysis which includes depthbased and skeleton-based activity recognition, head pose e...

Facial Expression Recognition has been a very important topic for research in computer pattern recognition and currently there is no method of facial Expression recognition system that have 100% recognition rate. The purpose of this research paper is to analysis of performance of Gabor filter and average Gabor filter. Feature extraction is the key step on which recognition rate depends for faci...

background the number of laparoscopic procedures done each year continues to rise substantially. clinically significant hemorrhage from secondary port sites at laparoscopy is an uncommon but serious complication and can become unrecognized intraoperatively. abdominal wall hemorrhage and bruising may complicate laparoscopic operative procedures. methods we propose an easy technical gesture to st...

The science of image processing helps to recognize the human gesture for general life applications. Human gestures can be identified by observing the different movements of eyes, mouth, nose and hands. The face is a rich source of information about human behavior. The proposed method of facial expression recognition system is based on PCA and Neural Networks, to recognize the facial expression ...

Facial Expression classification is becoming one of the foremost challenges in the area of computer vision & artificial intelligence that can be used for security, entertainment and human machine interface. The emotion recognition and classification depends upon gesture, pose, facial expression, speech and behavioral reactions etc. The task of face detection is very much complex due to the vari...

In many behavioral domains, such as facial expression and gesture, sparse structure is prevalent. This sparsity would be well suited for event detection but for one problem. Features typically are confounded by alignment error in space and time. As a consequence, high-dimensional representations such as SIFT and Gabor features have been favored despite their much greater computational cost and ...

Facial and head actions contain significant affective information. To date, these actions have mostly been studied in isolation because the space of naturalistic combinations is vast. Interactive visualization tools could enable new explorations of dynamically changing combinations of actions as people interact with natural stimuli. This paper describes a new open-source tool that enables navig...

It is envisioned that autonomous software agents that can communicate using speech and gesture will soon be on everybody’s computer screen. This paper describes an architecture that can be used to design and animate characters capable of lip-synchronised synthetic speech as well as body gestures, for use in for example spoken dialogue systems. A general scheme for computationally efficient para...

People often hold their hands near their faces as a gesture in natural conversation, which can interfere with affective inference from facial expressions. However, these gestures are valuable as an additional channel for multi-modal inference. We analyse hand-over-face gestures in a corpus of naturalistic labelled expressions and propose the use of those gestures as a novel affect cue for autom...