This thesis deals with pedestrian identification from video sequence based on person, face and gait recognition. For person and face recognition are used pretrained networks. While for gait recognition is implemented and compared many different networks. Final pedestrian recognition is based on multimodal fusion realized by neural network. For the purpose of the work was created dataset, along with a set of tools that allow its almost automatic creation
Human motion analysis has received a great attention from researchers in the last decade due to its ...
This report has summarized and showed what I have done and learn during the whole process of this Fi...
Considering the humongous amount of video data being produced everyday by countless number of surve...
Tato práce se zabývá identifikací osob z videa na základě rozpoznání postavy, obličeje a chůze. Pro ...
The main purpose of this bachelor's thesis is to create an application for person detection and reco...
Pedestrians in the vehicle way are in peril of being hit, along these lines making extreme damage wa...
A wide variety of organizations are using automatedperson identification systems to improve Customer...
This bachelor thesis focuses on pedestrians tracking from camera. In this work, I have introduced se...
In computer vision one of the basic challenges would be object recognition. Objects can vary in many...
People are the centre of technologies. Understanding, monitoring and tracking the behaviour of peop...
Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permi...
This thesis deals with human recognition on a videorecording. Convolution neural network was used fo...
This research project aims to develop an automated recognition system to understand the behavior of ...
Abstract:- This paper presents a vision-based pedestrian recognition method in the framework of Inte...
Abstract — Detection of human beings with accuracy in visual surveillance systems is important for v...
Human motion analysis has received a great attention from researchers in the last decade due to its ...
This report has summarized and showed what I have done and learn during the whole process of this Fi...
Considering the humongous amount of video data being produced everyday by countless number of surve...
Tato práce se zabývá identifikací osob z videa na základě rozpoznání postavy, obličeje a chůze. Pro ...
The main purpose of this bachelor's thesis is to create an application for person detection and reco...
Pedestrians in the vehicle way are in peril of being hit, along these lines making extreme damage wa...
A wide variety of organizations are using automatedperson identification systems to improve Customer...
This bachelor thesis focuses on pedestrians tracking from camera. In this work, I have introduced se...
In computer vision one of the basic challenges would be object recognition. Objects can vary in many...
People are the centre of technologies. Understanding, monitoring and tracking the behaviour of peop...
Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permi...
This thesis deals with human recognition on a videorecording. Convolution neural network was used fo...
This research project aims to develop an automated recognition system to understand the behavior of ...
Abstract:- This paper presents a vision-based pedestrian recognition method in the framework of Inte...
Abstract — Detection of human beings with accuracy in visual surveillance systems is important for v...
Human motion analysis has received a great attention from researchers in the last decade due to its ...
This report has summarized and showed what I have done and learn during the whole process of this Fi...
Considering the humongous amount of video data being produced everyday by countless number of surve...