Search Results - (( motion estimation machine algorithm ) OR ( program implementation using algorithm ))
Search alternatives:
- program implementation »
- implementation using »
- estimation machine »
- machine algorithm »
- using algorithm »
-
1
REAL-TIME HORN-SCHUNCK OPTICAL FLOW HARDWARE ARCHITECTURE FOR HIGH ACCURACY MOTION ESTIMATION
Published 2012“…The optical flow constraint equation of Horn-Schunck (OFCE-HS) is an algorithm used to compute motion estimation from the apparent motion of image sequences. …”
Get full text
Get full text
Thesis -
2
-
3
Immersive AR pet game with hand motion
Published 2023“…Unity provides a cross-platform development environment for AR applications that run on different devices with varying capabilities. ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
4
-
5
Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar
Published 2016“…Several methods have been developed in both spatial and frequency domains to deblur Gaussian and motion blurred images by using iterative methods to estimate the blur parameters. …”
Get full text
Get full text
Thesis -
6
Motion capture sensing techniques used in human upper limb motion: a review
Published 2019“…The purpose of this paper is to help the researchers to select specific MoCap system for various applications and the development of new algorithms related to upper limb motion. Design/methodology/approach This paper provides an overview of different sensors used in MoCap and techniques used for estimating human upper limb motion. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
7
Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach with Curated Dataset Generation for Enhanced Security
Published 2023“…To solve the above problem, we designed a prototype for PIDS using a DHT22 temperature and humidity sensor, vibration sensor SW- 420 Module Pinout, Mini PIR motion sensor, and Arduino UNO. After collecting the data from above mentioned sensors we applied machine learning algorithms DBSCAN to cluster the data points and K-NN classification to classify those clusters in one-dimensional data, but the results were not much satisfying. …”
Get full text
Get full text
Article -
8
Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming
Published 2012“…The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
Get full text
Get full text
Conference or Workshop Item -
9
Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
Get full text
Get full text
Thesis -
10
Detection and classification of moving objects for an automated surveillance system
Published 2006“…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
Get full text
Get full text
Thesis -
11
Implementation of autonomous vehicle navigation algorithms using event-driven programming
Published 2012“…The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad
Published 2002“…The method has been implemented as a C programming language. In this study, Wagner and Fischer algorithm, Hadith test collection that consists of Malay Hadith translation documents, query words and relevant judgements are used. …”
Get full text
Get full text
Thesis -
13
Detection and classification of moving objects for an automated surveillance system
Published 2006“…Technically, this method estimate the motion area before updates the background by taking a weighted average of non-motion area of the current background altogether with non-motion area of the current frame of the video sequence. …”
Get full text
Get full text
Thesis -
14
Hardware architecture of OFCE-HS for hardware implementation
Published 2011Get full text
Get full text
Conference or Workshop Item -
15
-
16
Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The steps to calculate a shortest path using A • algorithm is shown by using appropriate examples and related figures. …”
Get full text
Get full text
Thesis -
17
Implementation of Color Filtering on FPGA
Published 2007“…Verilog HDL is chosen as the hardware programming language for this system and its compiled using Quartus II program. …”
Get full text
Get full text
Conference or Workshop Item -
18
CAR TRACTION CONTROL SYSTEM
Published 2007“…VHDL is used in FPGA - based implementation. The methodology includes designing the fuzzy logic controller, development of the algorithm and codes programming. …”
Get full text
Get full text
Final Year Project -
19
REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…However, the rate cannot be exactly calculated at the encoder, instead it can only be estimated. This work also prbposes a feedback-free region-based adaptive DVC solution in pixel domain based on machine learning approach to estimate the side information. …”
Get full text
Get full text
Thesis -
20
Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
Published 2008“…In this report, it analyzes an application of repetitive control algorithm that deal with periodic disturbance.. To investigates the possibility of using a truncated finite impulse response (FIR) model approximation to implement a well-known gradient type repetitive control algorithm. …”
Get full text
Get full text
Student Project
