Lip Reading Based on Sampled Active Contour Model
نویسندگان
چکیده
This paper describes a model-based method for detecting lip region from image sequences. Our approach is by Sampled Active Contour Model (S-ACM). The original S-ACM has the problem which can’t expand. To overcome this problem, we propose the elastic S-ACM. Moreover, based on the extracted lip contour, the effective delta radius features are fed to the word HMM. We recorded ten words that uses for the wheelchair control, and obtained a recognition rate of 89% with twelve features.
منابع مشابه
Efficient face model for lip reading
There is number of researches on the lip reading. However, there is little discussion about which face model is effect for lip reading. This paper builds various face models which changes the combination of a face part, and changes the feature points. Various experiments were conducted on the conditions which change only model and do not change other algorithms. We apply the active appearance m...
متن کاملHuman Lips-Contour Recognition and Tracing
Human-lip detection is an important criterion for many automated modern system in present day. Like computerized speech reading, face recognition etc. system can work more precisely if human-lip can detect accurately. There are many processes for detecting human-lip. In this paper an approach is developed so that the region of a human-lip can be detected, we called it lip contour. For this a re...
متن کاملLip segmentation using automatic selected initial contours based on localized active contour model
With the rapid development of artificial intelligence and the increasing popularity of smart devices, human-computer interaction technology has become a multimedia and multimode technology from being computer-focused to people-centered. Among all ways of human-computer interactions, using language to interact with machines is the most convenient and efficient one. However, the performance of au...
متن کاملA local region based approach to lip tracking
Lip tracking has played a significant role in a lip reading system. In this paper, we present a local region based approach to lip tracking, which consists of two phases: (i) lip contour extraction for the first lip frame, and followed by (ii) lip tracking in the subsequent lip frames. Initially, we construct a localized color active color model provided that the foreground and background regio...
متن کاملLip Contour Detection Techniques Based on Front View of Face
Lip contour detection and tracking is the most important pre-requisite for computerized speech reading. Several approaches have been proposed for lip tracking after lip contour is accurately initialized on first frame. Detection and tracking of the lip contour is an issue in speech reading. A relatively large class of lip reading algorithms are available based on lip contour analysis. In these ...
متن کامل