1. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. Adaptive temporal-frame motion differential computation. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

2. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. The proposed video object segmentation flow. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

3. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. (a) Original image Trevor. (b) Forward difference image (N=3). (c) Backward difference image (M=3). (d) Bidirection difference image. (e) Adaptive noise truncation result. (f) Isolation filtering result. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

4. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. (a) Auto object segmentation with our proposed method. (b) Object segmentation with manual photo editor. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

5. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. (a) Original image Weather. (b) Auto-segmentation result. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

6. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. (a) Original image Irene. (b) Auto-segmentation result. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

7. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. The real sample images from 1st, 10th, 20th,…, 300th frames. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

8. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. The shape decoding frames. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

9. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. PSNR values estimated in various object sizes. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

10. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. (a) The boundary shape after isolation processing. (b) The result from the low-pass filter of Fig.. (c) The binary truncation for Fig.. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

11. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. The object decoding frames. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780

12. Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. The testing surveillance system based on MPEG-4 coding. Figure Legend: From: Single-object-based segmentation and coding technique for video surveillance system J. Electron. Imaging. 2009;18(3):033007-033007-10. doi:10.1117/1.3196780