Name: optical flow based moving object detection and tracking system (en Inglés)
Price: 199.14 PEN
Availability: InStock
Author: Basavaiah, Manjunath
ISBN: 9783848437429

portada optical flow based moving object detection and tracking system (en Inglés)

Formato

Libro Físico

Autor

Manjunath Basavaiah

Editorial

LAP Lambert Academic Publishing

Año

2012

Idioma

Inglés

N° páginas

112

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.7 cm

Peso

0.18 kg.

ISBN

3848437422

ISBN13

9783848437429

Categorías

Ingeniería electrónica

optical flow based moving object detection and tracking system (en Inglés)

Manjunath Basavaiah (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

Libro Nuevo

S/ 199,14

S/ 398,28

Ahorras: S/ 199,14

50% descuento

Envío normal

Origen: España (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 11 de Julio y el Lunes 22 de Julio.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "optical flow based moving object detection and tracking system (en Inglés)"

Moving object detection in digital image sequence involves identification of the presence of an object in consecutive frames where as object tracking is used to monitor the movements with respect to the region of interest. In this project, the motion estimation is obtained using Optical Flow. Optical Flow is the distribution of apparent velocities of movement of brightness patterns in an image. Lucas-Kanade algorithm with Sobel, Horn and Guassian smoothing techniques is used in this work for computation of Optical Flow vectors. Single and multiple object movements with respect to the computed vectors are segmented using thresholding. The extracted movements are tracked using edge and centroid information. Suitable image enhancement techniques are applied to the segmented results to avoid the unwanted information present in the image. Real and virtual image data with static and dynamic environment are used as test sequences to validate the developed algorithms. The tracking performance, in terms of their accuracy and computation time, of the different algorithms with and without image pyramid is analysed and compared in MATLAB & C on Intel Core2 Duo processor on Linux environment.