Our proposed target detection method.

<p>Our proposed target detection method.</p

Waggle dance of honey bees.

<p>Waggle dance of honey bees.</p

Experimental results of saliency-based target detection for the same scene in Fig. 12.

<p>(A) Overall salience map without lateral inhibition filtering and movement factor. (B) Overall salience map with lateral inhibition filtering. (C) Overall salience map with movement factor. (D-F) Energy distribution under mesh graph of the corresponding salience map from (A) to (C), respectively.</p

Experimental results.

<p>Two set of experimental results in different scenes. (A,D) The original scene.(B,E) Image after lateral inhibition filtering. (C,F) Image after high-pass filter.</p

Movement salience map based on ABC algorithm.

<p>(A, B) Two frames. (C) Overall movement salience map.</p

Test Image.

<p>(A) Template image. (B) Scene image.</p

Architecture of our motion features acquisition process.

<p>Architecture of our motion features acquisition process.</p

The comparison results of the two algorithm.

<p>(A) One-time evolution curve. (B) Average evolution curve.</p

Comparison experimental results in the scene with strong clutters and noise.

<p>(A) The original scene.(B) Image after lateral inhibition filtering. (C) Image after high-pass filter.</p

Procedure of ABC algorithm optimized movement vector acquisition.

<p>Procedure of ABC algorithm optimized movement vector acquisition.</p