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This paper presents a general framework for live detection of broilers in poultry houses. The challenges for image recognition of broilers are posted by crowded scenes, poor image quality and difficulty in acquiring a benchmark of labeled samples. The proposed framework consists on the use of image thresholding, morphological transformations, feature engineering, in addition to supervised and unsupervised...
Robust automatic detection of moving objects in a marine context is a multi-faceted problem due to the complexity of the observed scene. The dynamic nature of the sea caused by waves, boat wakes, and weather conditions poses huge challenges for the development of a stable background model. Moreover, camera motion, reflections, lightning and illumination changes may contribute to false detections....
For 3D display systems, detection and tracking of the observer's view point is necessary to render the correct view according to the observer position. In this paper, we present a new real-time view point tracking system using a single web cam. The system can easily be installed on a standard PC together with an autostereoscopic display or stereoscopic glasses (shutter, polarized, pulfrich, and anaglyph)...
Performance analysis of instructors in the lecture room plays a significant role in maintaining the higher education quality and standards. This paper presents a novel approach for the evaluation of instructor's performance and behavior in the lecture room. Proposed approach employs the lecture video using face recognition and pose estimation of instructor. Instructor time-in and time-out monitoring;...
We present a method for improving human segmentation results in calibrated, multi-view environments using features derived from both pixel (image) and voxel (volume) space. The main focus of this work is to develop a low-cost, vision-based system for passive activity monitoring of older adults in the home, to capture early signs of illness and functional decline and allow seniors to live independently...
In this paper, we propose an efficient approach for real-time eye-gaze detection from images acquired from a web camera. The measured data is sufficient to describe the eye movement, because the web camera is stationary with respect to the head. First, the image is binarized with a dynamic threshold. Then geometry features of the eye image are extracted from binary image. Next using estimation method...
Uterine fibroids also referred as leiomymas are the most common tumors persist within the wall of the female genital tract. This abnormality is predominant among woman of childbearing age where the secretion of estrogen hormone is significant. The most crucial factor is that the presence of fibroid can cause infertility and repeated miscarriage. In the recent years, ultrasonic imaging found to be...
In this paper, we propose a macro-observation scheme for unusual event detection in daily life, where motions in time-space domain are described by a global representation and individual activities do not have to be defined and modeled beforehand. The proposed representation records the time-space energy of motions of all moving objects in a scene without segmenting individual object parts or tracking...
The camera of traffic system takes numerous photos every day. It's critically important for judging kinds of car movements and intelligent transportation to pick up the outlines of automobiles and fix their positions. However, the popular car positioning algorithm is unable to reach the required fast speed in this field. In this paper we will provide readers with an algorithm to locate cars based...
An effective multiple eye-state detection method based on projection is proposed. The structure of an eye sketch map is analyzed. Using integral projection method, the height and width of eye iris could be evaluated. And then the ratio between the height and width of the eye iris visible is selected as the criterion to determine the eye states. The experimental results showed the efficiency of eye...
Spectrum access protocols permit secondary users to utilize frequency bands when the bands are not in use by the primary owners. To determine if a frequency band is in use, spectrum sensing techniques (e.g., energy detection, feature detection) are employed by the secondary radios. Such techniques require that the secondary radios cease transmitting in the band during spectrum sensing periods. We...
Today video surveillance systems are widely used in public spaces, such as train stations or airports, to enhance security. In order to observe large and complex facilities a huge amount of cameras is required. These create a massive amount of data to be analyzed. It is therefore crucial to support human security staff with automatic surveillance applications, which will create an alert if security...
The detection of drivers' eyes states is a key part in detecting drivers' vigilance states based on vision analysis. The present methods were not in real-time due to complex algorithm, or were very sensitive to the variety of illumination, and they are not suit to drivers work condition. We presented a new method which is based on variance projections function. Variance projection reflects the variance...
In this paper, a retrieval method is proposed for audio and video fingerprinting systems by adopting a line detection technique. To achieve fast retrieval, the `lines' are generated from sub-fingerprints of query and database, and the non-candidate lines are filtered out. So, the distance between query and refers can be calculated fast. To demonstrate the superiority of this method, the audio fingerprints...
This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multi-camera networks for the monitoring of people and vehicles. Modules are proposed to perform critical surveillance tasks including: the management and calibration of cameras within a multi-camera network; tracking of objects across multiple views; recognition of people utilising biometrics...
Background subtraction is an effective way which is commonly used in intelligent monitoring system for extraction of moving objects. However, the key step of background subtraction need for a precise and time-varying background model. In this paper, we describe an improved background model with its updating method, and apply to a computer vision-based motion detection system able to detect moving...
In recent years, the development of automatic traffic surveillance system has received great attention in the academic and industrial research. Based on computer vision technology, the purpose of this work is to construct the traffic surveillance system on the highway for estimating traffic parameters, such as vehicle counting and classification. The proposed system mainly consists of three steps...
Older adults suffering from Alzheimer's disease often require assistance with performing simple activities of daily living, such as washing their hands in the bathroom. This severely limits their independence and places a heavy care giving burden on their family and the healthcare system. The motivation for developing a water detection algorithm is for it to be used within a system that provides reminding...
Online video steam data is surging to an unprecedented level. Massive video publishing and sharing impose heavy demands on continuous video near-duplicate detection for many novel video applications. This paper presents an accurate and accelerated system for video near-duplicate detection over continuous video streams. We propose to transform a high-dimensional video stream into a one-dimensional...
A new method is proposed to address the problem of template drift, a common phenomenon in which the target gradually shifts away from the template in object tracking. This paper integrates drift monitoring and drift correction with template matching. During the tracking based on template matching, drift is corrected once it is detected. The robustness and practicality of the method have been proven...
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