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In computer vision, object detection is one of the most researched topics. The goal of object detection is to detect all instances of objects from a known class, such as people, cars or faces in an image. Object detection uses the extracted features and learning algorithms to detect and recognize objects. In this paper, we propose a robust object detection method based on fast template matching. We...
Human activity recognition has an important role for the automatic anomaly event detection and recognition application such as surveillance system and patient monitoring system. In this paper, we propose a human activity recognition method based on graph similarity measurement technique (GSM). The basic actions with their movements for each person in the interested area are extracted and calculated...
Tracking moving human from a monocular vision using visual tracking is a useful skill for the coming generation of human-machine interface. It is a challenging problem of planning and control in dynamic environment. The methods used in existing moving human tracking that operate from fixed platform or fixed background, are not applicable. In this paper, we propose a visual tracking approach that detects...
It is a challenging task to suppress mixed noise in a color image. Simple fuzzy method could reduce the mixed Gaussian-Impulse noise with preservable edge and detail of image; however, the method provides some drawbacks and led to inappropriate outputs. This paper proposed a resourceful method to remove the mixed Gaussian-Impulse noise by designing the sequential cases to estimate the optimal weights...
Digital video is fundamental of the surveillance system. However, it is easy to be modified by threats that may decrease drastically the trust of the surveillance system. In this paper, we introduce the video authentication that could protect the modification, eventually to increase the confidence and allowed the authenticated videos as evidences in law court. We propose the signature based video...
The rise of internet web-based application and smart phone ease access to the stock market, attracting newcomer investors. Most investors have made their decision based on information from stock investment researches published by the brokers. An automated stock recommendation system from stock investment research is introduced in this paper. The system collects several investment researches from multiple...
Human action recognition system is fundamental of human activity and behavior recognition, especially for video analysis technologies. In this paper, we introduce an improvement method for human action recognition proposed by P.Chawalitsittikul et al. The actions from RGBD multi-views, taken from cameras at different static-viewpoints in the overlapping Area of Interest, are fused at high-level decision...
Information credibility gradually shown its significant influence on social networks with high propagation ability and low confidence threshold, leading to the crucial work of identifying rumors. In this paper, we address the special characteristics of Weibo, the most popular microblogging service in China like Twitter, and proposed a general framework to assess the credibility of information. Specially,...
Hand gestures are used widely in communication. An important example is using in the sign languages. Many hand gesture silhouettes are the part of other hand gesture silhouettes. For example, V sign gesture is a part of the high five gesture, because we can create high five gesture silhouettes from the V sign gesture silhouettes by extending the other three fingers. Here we propose the partial contour...
Falls are significant public health problem. In the last few years, several researches based on computer vision system have been developed to detect a person who has fallen to the ground. This paper presents a novel fall detection technique namely the directional bounding box (DBB) to detect a falls event especially a situation of fall direction paralleling the line of camera's sight. The DBB is constructed...
This paper proposes a method to track vehicle in highway using CAMShift-based method. The Continuously Adaptive Mean Shift (CAMShift) is a well-known algorithm in object tracking. However, the ordinary CAMShift works fairly well only for tracking object that can identify by hue, when the difference between object color and background is large. This is not the case in vehicle tracking. The objective...
In this research, we propose using time context to improve predictive accuracy and quality of collaborative filtering for music recommendation. We use time contextual information called micro-profiling. Thus, each user has multiple micro profiles, in particular, six-time slots instead of a single profile. The recommendation is performed depended on these micro-profiling. Our method takes into account...
This paper presents the progress of the development of a Southern Thai dialect speech corpus to build automatic speech recognition. This is the recent Southern Thai dialect pronunciation dictionary containing more than 15,000 words, including words from a Southern Thai dialect dictionary, academic thesis papers, and online article resources. In this study, a hybrid technique was proposed to construct...
Currently, There are many E-commerce websites around the internet world. These E-commerce websites can be categorized into many types which one of them is C2C (Customer to Customer) websites such as eBay and Amazon. The main objective of C2C websites is an online market place that everyone can buy or sell anything at any time. Since, there are a lot of products in the E-commerce websites and each...
This research aims to determine health problems, especially symptom occurrence on the health-care documents for the automatic problem-diagnosis system. This research concerns the actual event of the symptom occurence mostly expressed by verb phrase on a simple sentence. Thus, we apply a word cooccurrence with the symptom concept having the first word as a verb to determine the symptom occurrence on...
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