Research Article
Object Tracking with Adaptive Multicue Incremental Visual Tracker
Algorithm 1
Multicue based IVT algorithm.
Initialization | Locate the target manually in the first frame, and use a single particle to indicate this | location. Set the initial relative sharpness factors as for cues. Initialize the | eigenbasis to be empty, and the mean to be the appearance of the target in the first frame. | for t = 1 to T | (1) Spread the target states at time to time using the state dynamic model. | (2) For each new state corresponding to particle at time , find its corresponding | weight in feature space based on its likelihood under the observation models. | (3) Based on each cue’s relative sharpness factor , . Combine multiple cues | by calculating the new weight for each particle as . | (4) Store the image window corresponding to the most likely particle. When the desired | number of new images have been accumulated, perform an incremental update (with a | forgetting factor) of the eigenbasis, mean, and effective number of observations. | (5) Update the relative sharpness factor for each cue at time as based on the | estimated target state and the particle distribution. | end for |
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