SVM for Object Detection

SVM for Object Detection

Object detection is considered to be one of the most challenging computer vision tasks, it consists in finding instances of generic objects in images and video. The object detection process consist of three basic components: object search, feature extraction and classification algorithm. One of the most popular classification techniques for the object detection task is Support Vector Machine (SVM). Even though this classifier can make use of kernel functions to discriminate data more accurately, most of the existing applications make use of linear kernels. We argue that the use of different kernels will improve the performance of this kind of systems. In this work the average performance of an object detection system using a SVM classifier trained using different kernels was compared against the PASCAL Visual Object Classes (VOC) benchmark. Findings indicate that the use of a Radial Basis Function (RBF) kernel can improve the average precision of an object detector system up to 15% according to the object to be detected

ESDEGUE TACTICAL TRAINING SYSTEM

ESDEGUE TACTICAL TRAINING SYSTEM

The objective of this project is to provide a simulation core to train military personnel on events of terrorism and natural disasters.

CEOTAS Tactical System Upgrade

CEOTAS Tactical System Upgrade

This upgrade consist on changing the current simulation core and connect it to a service oriented architecture based on NATO’s BML and MSDL standards for interoperability with Command and Control Systems.

CEOTAS Tactical Training System

CEOTAS Tactical Training System

The objective of this project is to build a simulation core that will allow military officers to train and evaluate their doctrine and strategies in the case of regular war.

INSTRON SERIES X AUTOMATED MATERIAL TESTING SYSTEM USER INTERFACE UPGRADE

INSTRON SERIES X AUTOMATED MATERIAL TESTING SYSTEM USER INTERFACE UPGRADE

This upgrade consist on changing the current simulation core and connect it to a service oriented architecture based on NATO’s BML and MSDL standards for interoperability with Command and Control Systems.