Abstract
Traditional target tracking algorithms based on single sensor images are not applicable in some circumstances such as cross-background, similar appearance object, shadow and occlusion with nonlinear and random characteristic. Previous image fusion tracking approach has requirement for precise registration. The traditional fusion-before-tracking strategy suffers from several serious drawbacks such as mutual influence between different single sensor resulting in the loss of the own advantages. The current proposed approach using tracking-before-fusion strategy operates in five ways. Firstly, the specified target is tracked using improved particle filter algorithm in visible sequence. Secondly, tracking in infrared sequence is based on improved template matching scheme. Thirdly, an un-registered treatment scheme is applied for un-registered sequences. Fourthly, the tracking results from visible and infrared sequences are fused by the new fusion rule. Finally, each result is fed back and updated for tracking improvement. The tracking experiments indicate that the proposed approach has higher efficient, robustness and real-time capability.
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