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Spatio-Temporal interest points are the most popular feature representation in the field of action recognition. A variety of methods have been proposed to detect and describe local patches in video with several techniques reporting state of the art performance for action recognition. However, the reported results are obtained under different experimental settings with different datasets, making it...
Intelligent personalized systems often ignore the affective aspectof human behavior and focus more on tactile cues of the useractivity. A complete user modeling, though, should also incorporatecues such as facial expressions, speech prosody and gesture orbody posture expressivity features, in order to dynamically profile the user, fusing all available modalities since these qualitative affective cues...
Captchas are frequently used on the modern world wide web to differentiate human users from automated bots by giving tests that are easy for humans to answer but difficult or impossible for algorithms. As artificial intelligence algorithms have improved, new types of Captchas have had to be developed. Recent work has proposed a new system called Avatar Captcha, in which a user is asked to distinguish...
The objective of human re-identification is to recognize a specific individual on different locations and to determine whether an individual has already appeared. This is especially in multi-camera networks with non-overlapping fields of view of interest. However, this is still an unsolved computer vision task due to several challenges, e.g. significant changes of appearance of humans as well as different...
This paper aims to answer the questions whether human height measurement from video is affected by human motion and how accurately human static height can be measured from a video or from a single image frame that captures a walking subject. In this paper, we present a new approach for measuring human height based on the cross ratio. This approach is performed in parallel with the vanishing point...
Large IT service providers comprise hundreds or even thousands of system administrators to handle customers' IT infrastructure. As part of the Information Systems that support the decision making of this environment, Incident Management Systems are used and usually provide human resource assignment functionalities. However, the assignment poses several challenges, such as establishing priorities to...
In this paper, we propose a memory recollection and retrieval system using spatial log data in daily living which allows users to see behavior of the past, unconscious behavior and object-oriented behavior in the Intelligent Space. The proposed system consists of multiple camera devices and microphone and it utilizes various kinds of data; human identification, human motion, object instance, weather...
Due to the maturing of digital image processing techniques, there are many tools, which can edit an image easily without leaving obvious traces to the human eyes. So the authentication of digital images is an important issue in our life. In this paper, multi-resolution Weber law descriptors (WLD) based method that detects copy-move image forgery is introduced. The proposed multi-resolution WLD extracts...
Smart vehicle technologies such as ADAS are growing concern about. Especially, pedestrian and vehicle recognition system based on machine vision is a big issue. In this paper, we propose the hardwired HOG feature extractor circuit for real-time human and vehicle detection, and describe the hardware implementation results. Our HOG feature extractor supports weighted gradient value, 2D histogram interpolation...
Steganography can be defined as a method of hiding data within a cover media so that other individuals fail to realize their existence. Steganographic systems play a vital role in covertly transmission of information even in the presence of an arbiter The message can be hidden in images, audio files or in text. Although the embedded message changes the characteristics and nature of the document in...
Single-shot person re-identification is to match pedestrian images captured from different cameras at different time under the condition of large illumination variations, different viewpoints, and inadequate information of single-shot case. To deal with these challenges, we propose a four-step single-shot person re-identification algorithm that consists of pedestrian segmentation, human region partitioning,...
This paper introduces a novel vision device for hand gesture-based human-robot interaction. Taking advantage of an eye-in-hand configuration, the proposed device guarantees that a target hand is projected always onto images captured from a camera. On the basis of the device, an adaptive histogram-based hand region segmentation algorithm is also proposed especially to enhance the performance against...
In order to have a rich representation for human action, we propose to combine two complementary features so that a human posture can be characterized in more details. In particular, the distance signal feature and the width feature are combined in an effective way to enhance each other's discriminating capability. The resulting feature vector is quantized into mid-level features using k-means clustering...
This paper proposes a saturation adjustment method based on human vision with YCbCr color model characteristics and luminance changes. In the traditional color adjustment approach, people tried to separately adjust the luminance and saturation. However, this approach makes the color over-saturate very easily and makes the image look unnatural. In this work, we try to use the concept of exposure compensation...
Hue (H), saturation (S) and intensity (I) are the attributes of color. Therefore, a lot of color image enhancement techniques are performed in HSI color space. In this paper, a new color image contrast enhancement method is proposed in HSI color space. Histogram equalization (HE) is a popular technique for contrast enhancement of images. It is the most commonly used method due to its simplicity and...
The development of Affective Computing has witnessed tremendous number of studies about facial and vocal expression, while bodily expression only comprises the minority. However, with the emerging of social signal processing, people have paid more attention to the significant role of body language in social communication and emotional expression. One situation when body language shows its importance...
The human motion analysis is an attractive topic in biometric research. Common biometrics is usually time-consuming, limited and collaborative. These drawbacks pose major challenges to recognition process. Recent researches indicate people have considerable ability to recognize others by their natural walking. Therefore, gait recognition has obtained great tendency in biometric systems. Gait analysis...
This paper presents a multi-feature approach for detection of key postures by using a MESA SR4000 time-offlight 3D sensor managed by a low-power embedded PC. Acquired data were pre-processed by using a well-established framework including self-calibration, segmentation and tracking functionalities. To accommodate different application scenarios, hierarchical coarse-to-fine features were extracted...
This paper presents a novel approach to detect human fights based on Hidden Markov Model (HMM). We present two HMM models to the problem. The first one is Fight Model, the second is Ordinary Model. According to the motion analysis between people in the scene, features for human behavior have been proposed. Given the observation value of features in time sequence, the probability can be evaluated by...
We consider in-hand manipulation tasks that consists of periodic movements. In order to improve the manipulation learning ability of a robot with a human-like hand, this paper introduces a segmentation method based on the techniques of action gist. Action gist is the key motion information in manipulation with the property of semantics. In the techniques of in-hand manipulation action gist, there...
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