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Human detection systems are becoming more important as more automatic and robotic systems are being used in the world. RGB, depth, and thermal images can be used together to produce a better detection system that works in situations where one of the sensors might not produce valuable data. HOG features can provide valuable information for detecting humans in an image and that data can be used to train...
Sign Language Recognition (SLR) system is a novel method that allows hard of hearing people to communicate with society. In this study, an American Sign Language (ASL) recognition system was proposed by using the surface Electromyography (sEMG). The objective of this study is to recognize the American Sign Language alphabet letters and allow users to spell words and sentences. For this purpose, sEMG...
In this paper, we presented a comparison between different approaches of person re-identification in camera network based on the-state-of-the-art. We studied the different descriptors of objects for identifying people and existing classifier at the re-identification step. We seek to develop video surveillance systems online in controlled areas and improve their reliability and their processing time...
Sentiment analysis is a research area where studies focus on the analysis and the processing of opinions found on the web content. It is about finding the polarity of sentiment expressed by internet user in their interaction about a giving subject in order to classify them on positive or negative. In this paper, we propose the implementation of a tool for sentiment analysis able to find the polarity...
In this paper we propose a video aesthetic quality assessment method that combines the representation of each video according to a set of photographic and cinematographic rules, with the use of a learning method that takes the video representation's uncertainty into consideration. Specifically, our method exploits the information derived from both low- and high-level analysis of video layout, leading...
We extract 3D curb from video sequence, using a single camera equipped with fish-eye lens and located at the front/rear of the vehicle. The challenge in extracting curbs from images lies in their small size and their lack of texture. We show that by appropriately exploiting appearance features, 3D geometry, and temporal information, one can reliably detect and localize the curbs in the 3D scene. The...
Facial expressions recognition has gained a growing attention from industry and also academics, because it could be widely used in many field such as Human Computer Interface (HCI) and medical assessment. In this paper, we evaluate the strength of the Light Field Camera for facial expression recognition. The light filed camera can capture the directions of the incoming light rays which is not possible...
A lot of traffic accidents are caused by driver distraction, while most existing driver attention assistance solutions need specialized hardware, which limit their wide accessibility. We present a convenient driver attention detecting system based on smartphones with dual cameras. Firstly, a feature detector describing pupil location, yaw and pitch angle of eyes, position and size of face detected...
Corrugation detection based on computer vision is a rapid and economical inspection technology, and it has attracted more and more attention from railway industry. This paper presents an effective corrugation detection system that includes an on-board image acquisition subsystem and a corrugation identification subsystem. In the corrugation identification subsystem, a track image captured by the on-board...
Aiming at the problem that the action recognition algorithms based on vision have a high requirement of the background and the human position relative to the sensor, an algorithm which is robust to the position changing of the human is proposed. The Microsoft v2 is used to collect skeleton data and standardize it, then the feature vectors are extracted from the data, at last after the correction of...
The problem of judging direction of the road is a tough problem in navigation system. This paper presents a image-based approach to address the direction problem in the road using Support Vector Machine(SVM) and Bayesian rules. Established localization or orientation algorithm is infeasible in the direction problem due to its time and space complexity. SVM is employed as an effective model for classification...
Achieving precise and robust human detection and tracking over camera networks is a very challenging task in the research of intelligent video surveillance. Its difficulties mainly result from abrupt human object motion, object occlusion and object scale change, and changing object appearance due to changes in illumination and viewpoint, non-rigid deformations, intra-class variability in shape and...
Drowsiness while driving is one of the main causes of fatal accidents, especially on monotonous routes such as highways. The goal of this paper is to design a completely standalone, distraction-free, and wearable system for driver drowsiness detection by incorporating the system in a smartwatch. The main objective is to detect the driver’s drowsiness level based on the driver behavior derived from...
Human Computer Interaction (HCI) has become an important focus of both computer science researches and industrial applications. And, on-screen gaze estimation is one of the hottest topics in this rapidly growing field. Eye-gaze direction estimation is a sub-research area of on-screen gaze estimation and the number of studies that focused on the estimation of on-screen gaze direction is limited. Due...
This paper presents an improved method based on Speed up Robust Features (SURF) algorithm to achieve fast image stitching. As the variability of scenes lead to instability of features, expecting to obtain accurate number of features is pretty difficult and time-consuming. support vector machine (SVM) applied in this paper to predict primary threshold of determinant of Hessian matrix can conspicuously...
Source camera identification process plays a major role in digital image forensics, which identifies the source camera used for capturing the given image. The state-of-the-art methods for source camera identification are mainly based on identifying the demosaicing artifacts, sensor noise based artifacts or by using image features from spatial/frequency domain. This paper proposes a novel feature based...
The novel method proposed in this article is a content classification method. Using techniques like Content Based Image Retrieval and Bag Of Words, we classified several scenes captured by a Kinect camera. The method is simple, robust and provides high accuracy according to the tests. We tested the method using various classifiers such as SVMs, decision trees, KNN. The results demonstrate that the...
Pedestrian detection is an important key problem in Advanced Driver Assistance Systems (ADAS). Un-signalized pedestrian crossing zone are dangerous places, where pedestrians enter the lane suddenly. This is the main factor for most of the accidents. For that, this paper illustrates a machine learning approach for detecting the pedestrian zone and also to detect the pedestrians crossing in that zone...
A fascinating issue in a digital forensic investigation is that given a digital video, would it be conceivable to recognize the camera model which was utilized to get the video. In this paper we take a simplified form of this issue by attempting to recognize recordings caught by a predetermined number of camera models. We propose various features which could be utilized by a classifier to distinguish...
Depth resolution enhancement aims to recover a high quality depth map from one or multiple low-resolution depth input(s) with missing pixels. While a registered high-resolution intensity image is often utilized to assist, little attention has been paid to the circumstances when there is only one pair of low-resolution depth map and aligned intensity image available. In this paper, we propose a novel...
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