Method AvgM-D on the SBM-RGBD dataset

Contact name: Guangli Li^1,2 and Xueying Wang^2

Contact email: liguangli@ict.ac.cn and wangxueying@ict.ac.cn

Contact Institution: ^1 ICT, Chinese Academy of Sciences (Beijing, China) and ^2 Jilin University (Changchun, China)

Method processing time: From ~2 to ~9 fps for 640x480 videos (python code running on a Xeon E5 server)

Method parameters: lambda=0.0001, alpha_h=9, alpha_w=9

Note: Uses only depth data

Reference: Unpublished

Get all result files: here.

A) Sequence-by-sequence results

Name	Recall	Specificity	FPR	FNR	PWC	Precision	F-Measure
Bootstrapping
BootStrapping_ds	0.8733	0.9910	0.0090	0.1267	2.0028	0.9098	0.8912
adl24cam0	0.1678	0.9818	0.0182	0.8322	6.7601	0.3729	0.2315
bear_front	0.3246	0.9861	0.0139	0.6754	18.8037	0.8926	0.4760
fall01cam0	0.5334	0.9835	0.0165	0.4666	4.1483	0.6561	0.5884
fall20cam0	0.3945	0.9879	0.0121	0.6055	4.2648	0.6394	0.4880
ColorCamouflage
Cespatx_ds	0.9107	0.9942	0.0058	0.0893	0.7558	0.7651	0.8316
Hallway	0.6969	0.9681	0.0319	0.3031	4.6098	0.5464	0.6125
colorCam1	0.9959	0.9905	0.0095	0.0041	0.8262	0.9681	0.9818
colorCam2	0.9967	0.9643	0.0357	0.0033	2.0958	0.9587	0.9774
DepthCamouflage
DCamSeq1	0.9557	0.9906	0.0094	0.0443	1.1300	0.8561	0.9032
DCamSeq2	0.5965	0.9960	0.0040	0.4035	2.1408	0.8710	0.7081
Despatx_ds	0.8154	0.9894	0.0106	0.1846	2.6637	0.8871	0.8497
Wall	0.9796	0.9927	0.0073	0.0204	0.8428	0.9299	0.9541
IlluminationChanges
ChairBox	0.3944	0.9914	0.0086	0.6056	7.3596	0.8494	0.5386
Ls_ds	0.0000	0.9917	0.0083	0.0000	0.8259	0.0000	0.0000
TimeOfDay_ds	0.0000	0.9893	0.0107	0.0000	1.0663	0.0000	0.0000
genSeq1	0.9623	0.9707	0.0293	0.0377	3.0350	0.8257	0.8888
IntermittentMotion
Shelves	0.7496	0.9986	0.0014	0.2504	0.6249	0.9160	0.8245
Sleeping_ds	0.8651	0.9716	0.0284	0.1349	4.9977	0.8852	0.8751
abandoned1	0.9745	0.9977	0.0023	0.0255	0.2915	0.9146	0.9436
abandoned2	0.9865	0.9875	0.0125	0.0135	1.2633	0.9159	0.9499
movedBackground1	0.9225	0.9992	0.0008	0.0775	0.1979	0.9424	0.9323
movedBackground2	0.8874	0.9929	0.0071	0.1126	1.3867	0.8949	0.8912
OutOfRange
MultiPeople1	0.8083	0.9870	0.0130	0.1917	2.6935	0.8411	0.8243
MultiPeople2	0.8915	0.9956	0.0044	0.1085	1.2912	0.9470	0.9184
TopViewLab1	0.5136	0.9845	0.0155	0.4864	3.1168	0.5333	0.5233
TopViewLab2	0.4987	0.9806	0.0194	0.5013	3.7913	0.5077	0.5031
TopViewLab3	0.4474	0.9820	0.0180	0.5526	2.9387	0.3508	0.3933
Shadows
Shadows_ds	0.9536	0.9946	0.0054	0.0464	0.7893	0.9190	0.9360
fall01cam1	0.5328	0.9939	0.0061	0.4672	3.5140	0.8546	0.6564
genSeq2	0.9517	0.9865	0.0135	0.0483	1.7337	0.8988	0.9245
shadows1	0.9813	0.9823	0.0177	0.0187	1.7880	0.9002	0.9390
shadows2	0.9867	0.9808	0.0192	0.0133	1.8399	0.8907	0.9363

B) Average results for each category

Name	Recall	Specificity	FPR	FNR	PWC	Precision	F-Measure
Bootstrapping	0.4587	0.9861	0.0139	0.5413	7.1960	0.6941	0.5350
ColorCamouflage	0.9001	0.9793	0.0207	0.0999	2.0719	0.8096	0.8508
DepthCamouflage	0.8368	0.9922	0.0078	0.1632	1.6943	0.8860	0.8538
IlluminationChanges	0.3392	0.9858	0.0142	0.1608	3.0717	0.4188	0.3569
IntermittentMotion	0.8976	0.9912	0.0088	0.1024	1.4603	0.9115	0.9027
OutOfRange	0.6319	0.9860	0.0140	0.3681	2.7663	0.6360	0.6325
Shadows	0.8812	0.9876	0.0124	0.1188	1.9330	0.8927	0.8784
AVG.	0.7065	0.9869	0.0131	0.2221	2.8848	0.7498	0.7157