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Subjective tests are generally regarded as the most reliable and definitive methods for assessing image quality. Nevertheless, laboratory studies are time consuming and expensive. Thus, researchers often choose to run informal studies or use objective quality measures, producing results which may not correlate well with human perception. In this paper we propose a cost-effective and convenient subjective...
Human analysis in images and video is a hard problem due to the large variation in human pose, clothing, camera view-points, lighting and other factors. While the explicit modeling of this variability is difficult, the huge amount of available person images motivates for the implicit, data-driven approach to human analysis. In this work we aim to explore this approach using the large amount of images...
In this paper, we propose a 3D template-based human action detection base on volume pattern matching. A volume pattern is obtained by detecting the principal plane from a space-time patch using the 3D moment-preserving technique. Instead of segmentation and detailed shape representation, the objective of this research is to develop and apply computer vision methods that explore the structure of a...
This paper presents an active learning approach for recognizing human actions in videos based on multiple kernel combined method. We design the classifier based on Multiple Kernel Learning (MKL) through Gaussian Processes (GP) regression. This classifier is then trained in an active learning approach. In each iteration, one optimal sample is selected to be interactively annotated and incorporated...
Human detection has attracted much attention in recent years due to its widespread applications. Most existing multi-camera systems focus on locating moving people in each camera and thus resolve the occlusion, which cannot detect still people in images. To overcome this problem, we extend previous 3D search method from single camera to multi-camera. We first use the method of multiple view geometry...
We study the question of hand posture recognition by developing a new class of Bag-of-Features (BoF), namely Hierarchical BoF. The Hierarchical BoF captures spatial information by dividing whole hand area into several sub-regions and projecting local features onto horizontal and vertical directions. A similarity measurement based on Histogram Intersection Kernel (HIK) is proposed to classify hand...
With the increasing popularity of video applications, the reliable measurement of perceived video quality has increased in importance. We study methods for pooling video quality scores over space and time. The method accounts for localized severe impairments of the signal which exhibit significant influence on the subjective impression of the overall signal quality. It also accounts for the effect...
Being fast to compute and simple to implement, Local Binary Pattern (LBP) has also shown superior performance in texture classification and face detection. However, it is not well optimized for pedestrian detection. At night/dark environment, pedestrian detection typically needs to overcome problems of low contrast, image blur, and image noise. A novel feature extraction method, consisting of Weighted...
In this paper we present a system that tracks multiple persons by detection in real-time. We introduce a measure for similarity of detections which segments significant information from background clutter by using statistical information obtained during the learning phase of the detector. In order to track multiple persons we map the detections into flow networks utilizing this measure. A continuous...
The psychological intervention treatment is a necessary treatment to achieve the healthy return to the society in psychiatric rehabilitation. It is the core of modern bio — psycho — social medical model. The psychological intervention treatment in psychiatric rehabilitation is implemented on several aspects of cognitive model reformation, emotional regulation training, life skills training for social...
This paper presents a meaning-based method to distinguish text without or with little semantic content from text that has meaning which can be processed. The basic method assumes that a semantic analyzer will be able to produce less output from semantically less grammatical input text. The method was pilot-tested on a corpus of blog spam. Future improvements, including a method to distinguish semantically...
This paper proposes a conceptual hybrid cognitive architecture for cognitive robots to learn behaviors from demonstrations in robotic aid situations. Unlike the current cognitive architectures, this architecture puts concentration on the requirements of the safety, the interaction, and the non-centralized processing in robotic aid situations. Imitation learning technologies for cognitive robots have...
Karyotyping, or the automatic classification of human chromosomes, is mostly based on the analysis of the chromosome specific banding pattern. Unfortunately, the most informative phases of the cell division cycle are composed of long chromosomes that easily overlap: the involved banding pattern information is corrupted, resulting in a drastic increase of the classification error. Assuming the availability...
System-on-Chip (SoC) based Doppler radar occupancy sensor is developed through non contact detection of respiratory signals. The radio was developed using off the shelf low power RF CC2530 SoC chip by Texas Instruments. In order to save power, the transmitter sends signal intermittently at 2.405 GHz. Reflected pulses are demodulated, and the baseband signals are processed to recover periodic motion...
Social robots are designed to interact with people in a manner that is consistent with human social psychology. They are a particularly intriguing technology in health domains due to their ability to engage people along social and emotional dimensions. In this paper, we highlight a number of interesting opportunities for social robots in healthcare related applications.
The detection of human abnormal action is very important in video surveillance. In order to detecting human abnormal action in different scenarios, we can use a method of double-layer Bag-of-Words model. In this method, the video information is firstly processed using Bag-of-Words, and the information of motion text words and scenarios are included in another bag. A video sequence is represented as...
Humans create efficient social structures in a self-organized way based on a feature called homophily. This paper proposes the use of homophily in Service-Oriented Multiagent Systems to create efficient self-organized structures and provide a decentralized service management.
Adaptive algorithms give a way to solve a problem through successive attempts, without needing much information about a solution. The purpose of a tower defense game is to place towers that will kill enemies before they can reach the end of a fixed path. Using adaptive algorithms for a tower defense game allows the AI to not require any information about the types of towers and the layout of the path...
Human shadow is one of the most important aspects which can be used for gait recognition. However, human shadow extraction is a hard task due to the umbra-penumbra phenomenon and backlight effects. In this paper, a new Graph Cuts based human shadow extraction method using entropyex-pressed texture and color features is proposed. In this method, the local area attributes are estimated totally both...
Estimating pose of human face plays important role in lip reading. Mouth shape varies on face pose variation. Therefore, pose estimation will be front end of lip reading system. Embedded HMM can be successfully applied in estimating pose of human face. Advantage of EHMM based pose estimation method is non-sensitive in parallel shift and scale varying. On the other side, SVM is the classifier which...
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