Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan
Vol. 8 No. 2 (2017): Oktober 2017

Deteksi Abnormality Dengan Menggunakan Algortima KLT Pada Citra Video CCTV

Lailia Rahmawati (Universitas Darul ulum)



Article Info

Publish Date
30 Oct 2017

Abstract

Abnormality Detection on CCTV video images that are shown on a particular individual or a particular object where the movement is captured by a minority. The use of KLT Algorithm (Kanade-Lucas-Tomasi) as Algortima Tracing results of a video that has been done Residual Spectral process that aims to produce a global movement that allocates an interesting area. From the comparison results it is known that the number of pixels in the detection move smaller than the detection is not moving. Then the result is that, the abnormal minority is that there is an object moving on its own compared to the other objects

Copyrights © 2017






Journal Info

Abbrev

intake

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

Description

Jurnal Intake: Jurnal Penelitian Ilmu Teknik Dan Terapan (INtelligent Technology And Knowledge Engineering) Jurnal Intake merupakan publikasi berkala yang diperuntukkan Jurnal Penelitian Ilmu Teknik Dan Terapan. Jurnal Intake dikelola oleh Faklutas Teknik Universitas Darul Ulum Jombang . Publikasi ...