A Survey of Feature Base Methods for Human Face Detection

Hiyam Hatem, Zuo Beiji, Raed Majeed
2015 International Journal of Control and Automation  
‫حطو‬ ‫اعهد‬Abstract The human face is among the most significant objects in an image or video, it contains many important information and specifications, also is required to be the cause of almost all achievable look variants caused by changes in scale, location, orientation, pose, facial expression, lighting conditions and partial occlusions. It plays a key role in face recognition systems and many other face analysis applications. We focus on the feature based approach because it gave great
more » ... esults on detect the human face. Face feature detection techniques can be mainly divided into two kinds of approaches are Feature base and image base approach. Feature base approach tries to extract features and match it against the knowledge of the facial features. This paper gives the idea about challenging problems in the field of human face analysis and as such, as it has achieved a great attention over the last few years because of its many applications in various domains. Furthermore, several existing face detection approaches are analyzed and discussed and attempt to give the issues regarding key technologies of feature base methods, we had gone direct comparisons of the method's performance are made where possible and the advantages/ disadvantages of different approaches are discussed. 62 Copyright ⓒ 2015 SERSC activities in machine recognition of human faces from still and video images have increased significantly over the past 30 years [1] . During the past several years, the face detection problem has been given a significant focus due to the range of its applications in commerce and law enforcement. Moreover, in recent years a lot of pattern recognition and heuristic based methods have been proposed for detecting human face in images and videos [2] . Face detection is the first stage of many face processing systems, including face recognition, automatic focusing on cameras, automatic face confusion in pictures, pedestrian and driver drowsiness detection in cars, criminal identification, access control, etc. [3] . Facial expression detection/recognition from images and video sequences is an active research area. Analysis of facial expressions by the machine is a challenging task with many applications. Computer vision techniques are already given to the understanding of facial expression detection. Such applications have been reported in Lekshmi et al. [4] For face detection, [5] for facial feature extraction and [6] for face recognition. With increasing terrorist pursuits and augmenting the demand for video surveillance, it was the need of an hour to come up with an efficient and fast detection and tracking algorithm. This detecting and tracking algorithm will bring practical applications like Smart captcha, Webcam based energy/power saver, Time tracking service, Outdoor surveillance camera service, Video chats service, Teleconferencing [7] .
doi:10.14257/ijca.2015.8.5.07 fatcat:njcpgsjgdvfgvmvw5ayxz53s7e