We propose a novel spatio-temporal network to recognize micro-expressions from videos.

This paper is on detecting geographical landmarks in videos. Click here to view

Tracking objects in motion can be used in many applications such as theft detection using CCTV cameras, and vehicle speed identification. One of the main issues with tracking objects is that whilst some methods are geared towards depthwise motion, the others are more effective in detecting movements across the captured frame. Another issue with most methods is their inability to detect slow moving objects. We propose a method which through experimentation has shown, could track motion of objects in all 3 dimensions as well as detect small, slow moving objects with minimal disturbance due to noise.

In this paper, we propose to use a parallelized system for detection via the use of Message Passing Interface (MPI) in the C language for the communication between nodes as well as the use of OpenMP for the encryption of messages that are being passed. We aim to improve the efficiency in Inter Process Communication between nodes and as the results

show, the use of MPI.

Design and Implementation of Parallelized Mandelbrot Algorithm using Message Passing Interface The Mandelbrot set creates a visual representation of the function 𝒇(𝒙) = 𝒙𝟐 + 𝒄 by sampling the complex numbers and testing and shows a ever recursive pattern when zoomed. This document uses the round robin partitioning to parallelize the Mandelbrot algorithm with the use of Message Passing Interface (MPI).

The performance of the parallelization is analysed using Amdahl’s law. The experimental results show significant speed ups with the use of parallel processing