This paper presents an object tracking framework based on the mean-shift algorithm, which is a nonparametric technique that uses statistical color distribution of objects. Tracking objects through highly similar-colored background one problems need to be addressed. In various cases where and distributions are very similar, obtained from single frame alone not sufficient track reliably. To deal with this problem, proposed algorithm utilizes adaptive foreground modeling detect change due...

The spatial resolutions of hyperspectral images are generally lower due to imaging hardware limitations. Super-resolution algorithms can be applied obtain higher resolutions. Many exist achieve super-resolution from low resolution acquired in different wavelengths. One the popular is sparse representation-based that employ dictionary learning methods. In this study, a comparative framework developed investigate which algorithm leads better images. order that, K-SVD and ODL employed for...

Automatic initialization and tracking of multiple people their body parts is one the first steps in designing interactive multimedia applications. The key problems this context are robust detection an unconstrained environment. This paper presents integrated framework to address objects a computationally efficient manner. In particular, neural network-based face detector was employed detect faces compute person specific statistical model for skin color from regions. A probabilistic proposed...

It is one of the common problems to identify objects in satellite images earth using computer vision and image processing techniques. especially important determine coordinates civil military aircrafts an airport or anyplace crucial for intelligence. In this paper we achieved from taken a specific altitude For purpose have been searched that previously identified by SVM classifier derived Google Earth <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Eye pupil detection systems have become increasingly popular in image processing and computer vision applications medical systems. In this study, a video-based eye system is developed for diagnosing bipolar disorder. Bipolar disorder condition which people experience changes cognitive processes abilities, including reduced attentional executive capabilities impaired memory. order to detect these abnormal behaviors, number of neuropsychological tests are also designed measure abilities. The...

Tracking body parts of multiple people in a video sequence is very useful for face/gesture recognition systems as well human computer interaction (HCI) interfaces. This paper describes framework tracking objects (e.g., hands and faces people) stream. We use probabilistic model to fuse the color motion information localize employ hypothesis (MHT) algorithm track these features simultaneously. The MHT capable with limited occlusions suitable resolving any data association uncertainty....

Eye tracking systems have become increasingly popular in computer vision applications. In this study, a video-based pupil detection system and neuropsychological tests for the are developed diagnosing of neuropsychiatric disorders. An Active Contour Snake model with ellipse fitting algorithm is proposed to extract position (x, y) radius (r) information pupils video sequences. The research applied three different groups, namely; bipolar disorder group, control group schizophrenia group. order...

In this study, a video-based pupil detection system and neuropsychological tests for the are developed diagnosis of neuropsychiatric disorders. An Active Contour Snake model is proposed to extract position (x,y) radius (r) information pupils in video sequences. The test research applied two different groups, namely; bipolar disorder group control (nonbipolar) group. order conduct application, number selected words shown people on computer screen. While they reading these words, used...

Facial expressions are non-verbal signs that play an important role between interpersonal communications and also they the most effective way to describe human emotions. The correct fast extraction/recognition of facial is ongoing research area for computer vision. In this study, effects feature selection on classification seven different (anger, disgust, fear, joy, neutral, sadness, surprise) analyzed. To end, features each expression were extracted using Gabor filters from images selected...

Due to hardware limitations, hyperspectral imagery has low spatial resolution. It can be obtained super- resolution by means of sparse representation-based methods that are designed for improving In this paper, the effect dictionary learning algorithms including K-SVD, ODL and Bayes on obtaining super-resolution images with error high quality been investigated. The method best results identified.

The ability to track many people and their body parts (i.e., face hands) in a complex environment is crucial for designing collaborative natural human computer interaction (HCI). A challenging issue tracking the data association uncertainty while assigning measurements proper tracks case of occlusion close different people. This paper describes framework 2D/3D using multiple hypothesis (MHT) algorithm. path coherence function has been incorporated along with MHT reduce negative effects...

We present a multiple object tracking framework that employs two common methods for and image matching, namely Multiple Hypothesis Tracking (MHT) Hausdorff matching. use the MHT algorithm to track edges simultaneously. This is capable of with limited occlusions suitable resolving any data association uncertainty caused by background clutter closely-spaced edges. matching organize individual into objects given their two-dimensional models. The combined technique provides robust probabilistic...

Tracking of people and their body parts has found application in image processing computer vision. This paper describes a framework for tracking (eg, hands face) multiple sequences. We use probabilistic model to fuse color motion information localize the employ hypothesis (MHT) algorithm track these features simultaneously. incorporate path coherence function along with MHT reduce negative effects spurious measurements that produce unconvincing tracks needless computations. The performance...

Non-metallic chemical components (silicate, sulfide, alumina, globular oxide) originated from production process cause inclusions in steel. These are one of the important factors that directly affect quality Before raw steel is used, detection and classification according to international standards ASTM E45 will prevent faults may occur during or after production. In this paper, an accurate, fast reliable image processing based system automatically detects classifies non metallic developed....