Wavelet based detection of moving tree branches and leaves in video


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. © 2006 IEEE.

Conference name: 2006 IEEE International Symposium on Circuits and Systems
Date of Conference: 21-24 May 2006
Color image processing, Feature extraction, Hidden Markov models, Motion estimation, Vector quantization, Wavelet transforms, Color information, Motion trajectories, Motion vectors, Wavelet based detection, Image analysis