1. Date of download: 5/29/2016 Copyright © 2016 SPIE. All rights reserved. From left to right are camera views 1,2,3,5 of surveillance videos in TRECVid benchmarking dataset. The scenes are very complex due to cluttered background, ununiform illumination, large scale variations, and partial or full occlusion between people. There are also shadows associated with moving humans. Figure Legend: From: Robust event detection scheme for complex scenes in video surveillance Opt. Eng. 2011;50(7):077204-077204-8. doi:10.1117/1.3596603

2. Date of download: 5/29/2016 Copyright © 2016 SPIE. All rights reserved. The framework of the proposed event detection scheme. Figure Legend: From: Robust event detection scheme for complex scenes in video surveillance Opt. Eng. 2011;50(7):077204-077204-8. doi:10.1117/1.3596603

3. Date of download: 5/29/2016 Copyright © 2016 SPIE. All rights reserved. Human detection and tracking. Figure Legend: From: Robust event detection scheme for complex scenes in video surveillance Opt. Eng. 2011;50(7):077204-077204-8. doi:10.1117/1.3596603

4. Date of download: 5/29/2016 Copyright © 2016 SPIE. All rights reserved. (a) An image with moving shadows. (b) Moving regions after segmentation. (c) Human detected by head tops: each window is associated with a head top. (d) Human detected after the human classifier. (e) Head top false negative (marked by an “×” symbol) and human detection false negatives caused by two vertically aligned people. In this chosen case, both vertically aligned people cannot be detected. For the upper “father” person with head top marked by a “O” symbol, the missed detection is because the associated window of an average size of human beings looks like a triangle rather than a person. Figure Legend: From: Robust event detection scheme for complex scenes in video surveillance Opt. Eng. 2011;50(7):077204-077204-8. doi:10.1117/1.3596603

5. Date of download: 5/29/2016 Copyright © 2016 SPIE. All rights reserved. The framework of CAMSGPF. Each blob's horizontal position and area represent the state and weight of a sample. The highlighted color indicates likelihood evaluated by an observation model. The optimized proposal density is found in the dashed block. Figure Legend: From: Robust event detection scheme for complex scenes in video surveillance Opt. Eng. 2011;50(7):077204-077204-8. doi:10.1117/1.3596603

6. Date of download: 5/29/2016 Copyright © 2016 SPIE. All rights reserved. Human tracking using standard particle filter and CAMSGPF. The video is taken from Camera View 2 of the TRECVid dataset. (a) Detected human to be tracked. (b)(c) Tracking results using particle filter after around 100 and 200 frames. (d)(e) Tracking results using CAMSGPF tracking. It can be seen that CAMSGPF outperforms particle filter in the case of scale variation. Figure Legend: From: Robust event detection scheme for complex scenes in video surveillance Opt. Eng. 2011;50(7):077204-077204-8. doi:10.1117/1.3596603

7. Date of download: 5/29/2016 Copyright © 2016 SPIE. All rights reserved. DET curves for the “PeopleMeet” event in the 2008 evaluation. The actual operational points of all participating systems are marked by different symbols at these curves. The curve with legend “SJTU_1 p-baseline_1” is the result of the proposed scheme. Light gray curves consist of operational points at the same detection cost rate. It can be seen that our system can achieve the best minimum DCR. Figure Legend: From: Robust event detection scheme for complex scenes in video surveillance Opt. Eng. 2011;50(7):077204-077204-8. doi:10.1117/1.3596603

8. Date of download: 5/29/2016 Copyright © 2016 SPIE. All rights reserved. DET curves for the “PeopleSplitUp” event in the 2009 evaluation. The actual operational points of all participating systems are marked by different symbols at these curves. The curve with legend SJTU_3 p-baseline_1 is the result of the proposed scheme. Light gray curves consist of operational points at the same detection cost rate. It can be seen that our system can achieve the best minimum DCR. Figure Legend: From: Robust event detection scheme for complex scenes in video surveillance Opt. Eng. 2011;50(7):077204-077204-8. doi:10.1117/1.3596603