Orthogonal Frequency Division Multiplexing
Orthogonal Frequency Division Multiplexing Abstract Orthogonal frequency-division multiplexing (OFDM) is a method of encoding digital data on multiple carrier frequencies. The data are sent over parallel sub-channels with each sub-channel modulated by a modulation scheme such as QPSK, 16 QAM etc. The advantage of OFDM is its ability to cope with severe channel conditions compared
Detection of oil seeping using k-means clustering based on color image segmentation
Detection of oil seeping using k-means clustering based on color image segmentation Abstract Color image segmentation has been the hotspot for the researchers in the image processing field. Color image segmentation using the k-means clustering algorithm has yielded fruitful results. An advantage resulting from the choice of color space representation could be taken to enhance
Computer Vision Based Vehicle Detection & Counting
Computer Vision Based Vehicle Detection & Counting Abstract A vehicle detection and counting system plays an important role in an intelligent transportation system, especially for traffic management. This paper proposes a video-based method for vehicle detection and counting system based on computer vision technology. The proposed method uses background subtraction technique to find foreground objects
Implementation of Face Detection and Tracking
Implementation of Face Detection and Tracking Abstract In this paper, we addressed the problem of facerecognition under mismatched conditions. In the proposed sys-tem, for face representation, we leveraged the state-of-the-artdeep learning models trained on the VGGFace2 dataset. Morespecifically, we used pretrained convolutional neural networkmodels to extract 2048 dimensional feature vectors from faceimages of International Challenge
Multiple People Tracking using Contextual
Multiple People Tracking using Contextual Abstract The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios change over time. For object recognition, navigation systems and surveillance systems,
QAM (Quadrature Amplitude Modulation)
QAM (Quadrature Amplitude Modulation) ABSTRACT In this project we are going to implement M-array QAM modulator, here M being 16. This paper is a demonstration of complete system generator based design of 16-QAM transmitter which can be easily implemented. Each of the possible symbols is a combination of a real and a complex value and
Moving Object Path Prediction and tracking
Moving Object Path Prediction and tracking ABSTRACT This paper reports an object tracking algorithm for a moving platform using the dynamic and active-pixel vision sensor (DAVIS). It takes advantage of both the active pixel sensor (APS) frame and dynamic vision sensor (DVS) event outputs from the DAVIS. The tracking is performed in a three step-manner: