Title :
Wavelet based detection of moving tree branches and leaves in video
Author :
Toreyin, B. Ugur ; Cetin, A. Enis
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara
Abstract :
A method for detection of tree branches and leaves in video is proposed. It is observed that the motion vectors of tree branches and leaves exhibit random motion. On the other hand regular motion of green colored objects has well-defined directions. In this paper, the wavelet transform of motion vectors are computed and objects are classified according to the wavelet coefficients of motion vectors. Color information is also used to reduce the search space in a given image frame of the video. Motion trajectories of moving objects are modeled as Markovian processes and hidden Markov models (HMMs) are used to classify the green colored objects in the final step of the algorithm
Keywords :
hidden Markov models; image colour analysis; image sequences; motion estimation; wavelet transforms; color information; green colored objects; hidden Markov models; motion trajectories; motion vectors; tree branches detection; wavelet based detection; wavelet transform; Clouds; Detection algorithms; Hidden Markov models; Motion detection; Object detection; Pixel; Recursive estimation; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1692739
