Traffic accidents are caused by several factors, especially due to driver fatigue. To minimize human negligence, developing a prototype microsleep detection system trigger an alarm is necessary. This research uses Histogram Oriented Gradient and Support Vector Machine methods detect objects. The programming language used Python, using the dataset from Idlib face landmark as marker in point area...

The purpose of this paper is to detect human in images. This paper proposes a method for extracting human body feature descriptors consisting of projected edge component series. The feature descriptor can express appearances and shapes of human with local and global distribution of edges. Our method evaluated with a linear SVM classifier on Daimler-Chrysler pedestrian dataset, and test with var...

Selecting a threshold from the gradient histogram, a histogram of gradient magnitudes, of an image plays a crucial role in a gradient based edge detection system. This paper presents a methodology to determine the threshold from a gradient histogram generated using any kind of linear gradient operator on an image. We consider the image as a random process with dependent samples, model the gradi...

Human action recognition has become an important research topic in computer vision area recently due to many applications in the real world, such as video surveillance, video retrieval, video analysis, and human-computer interaction. The goal of this paper is to evaluate descriptors which have recently been used in action recognition, namely Histogram of Oriented Gradient (HOG) and Histogram of...

Feature plays a very important role in the area of image processing. Before extracting features, image pre-processing technique like resizing is applied on the input image. Then, features are obtained by various feature extraction techniques. These features are then used for classification and recognition of the objects in an image. Features are useful in terms of space utilization, efficiency ...

In this paper, we present a new algorithm to detect the two-wheelers riding on people for the normalized cross correlation (NCC) and its application of histogram of oriented gradients (HOGs). Using the NCC algorithm, local geometric information is used as weighting value to the HOG features. Experimental results show that the new approach gives higher detection accuracy than that of the convent...

Face detection has been one of the most studied topics in computer vision literature; so many algorithms have been developed with different approaches to overcome some detection problems such as occlusion, illumination condition, scale, among others. Histograms of Oriented Gradients are an effective descriptor for object recognition and detection. These descriptors are powerful to detect faces ...