Wyniki wyszukiwania - BazTech

1

Motion vector estimation of a stereovision camera with inertial sensors

Pełczyński P., Ostrowski B., Rzeszotarski D.

Metrology and Measurement Systems

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2012

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Vol. 19, nr 1

141-150

EN

The aim of the presented work was the development of a tracking algorithm for a stereoscopic camera setup equipped with an additional inertial sensor. The input of the algorithm consists of the image sequence, angular velocity and linear acceleration vectors measured by the inertial sensor. The main assumption of the project was fusion of data streams from both sources to obtain more accurate ego-motion estimation. An electronic module for recording the inertial sensor data was built. Inertial measurements allowed a coarse estimation of the image motion field that has reduced its search range by standard image-based methods. Continuous tracking of the camera motion has been achieved (including moments of image information loss). Results of the presented study are being implemented in a currently developed obstacle avoidance system for visually impaired pedestrians.

2

Facial expressions animation based on motion trajectories modelling

Kocoń M., Emirsajłow Z.

Pomiary Automatyka Robotyka

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2011

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R. 15, nr 11

56-62

EN

This paper describes a way of the face characteristic points trajectory synthesis during emotion changes. The points were selected in according to human face anatomy properties and based on an available system of face movements description. The motion curve was proposed to model changes of emotions on a three-dimensional geometrical model of the human face.

PL

Niniejszy dokument opisuje sposób syntezy trajektorii punktów charakterystycznych twarzy podczas zmian emocji. Punkty zostały wybrane zgodnie z właściwościami anatomicznymi twarzy człowieka oraz na podstawie systemu FACS opisującego aktywność twarzy. Do modelowania zmian emocjonalnych na trójwymiarowym geometrycznym modelu twarzy człowieka zaproponowano uogólnioną postać krzywej ruchu.

3

Optical feature clustering algorithm for object tracking in image sequences

Pełczyński P., Arriola J. A.

Image Processing & Communications

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2009

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Vol. 14, no 2-3

23-30

EN

The aim of the presented work was the development of software technique for detection and tracking of moving objects in video sequences. It is intended to serve as an automatic video surveillance or traffic control system. Local image features are detected and tracked in the presented system. Two clustering algorithms are utilised for this task succes-fully. Firstly, the QT (Quality Threshold) algorithm has a potential of new object detection. Secondly, modification of a well known K-means algorithm proved its usefulness in tracking moving objects in image sequences. For reduction of the analysed data, corners are detected in consecutive images. Their motion vector and coordinates produce feature vectors for an image classifier. The obtained results show the ability of the proposed technique to detect and track multiple objects on the basis of their local, visual features. No model matching technique was necessary, which simplified overall approach. Comparatively low number of operations, required to perform tracking process, gives the possibility to implement the algorithm in real time on modern graphics processing unit in PC computers.