The reults of DAL and related trackers on the PTB, STC, and CDTB becnmarks.
To save the results for the paper DAL: A Deep Depth-Aware Long-term Tracke
Visualzie Code To visualize the raw results one the RGB image on all sequences:
python visualize_raw_results.py --raw_results_path XXXXX --dataset CDTB --sequences_path XXXXX
To run specific trackers on the specific sequences :
python visualize_raw_results.py --raw_results_path XXXXX --dataset STC --sequences_path XXXXX --sequence dog_outside bottle_box --tracker DIMP
To save the figures:
python visualize_raw_results.py --raw_results_path xxxxx --dataset PTB --sequences_path XXXXX --savefig True --save_path XXXXX
Princeton benchmark (PTB)
CDTB dataset
- dimp50_votd_default_noonline
- dimp50_votd_vot_noonline
- DIMP
- OTR
- SiamDW_D
- SiamDW_D_blend
- SiamFC
- BACF
- blend2track_vot
- CADMS
- CSRDCF
- CSR-depth
- ECO
- ECOhc
- ECO-hc-D
- FuCoLoT
- KCF
- KCF-D
- MDNet
- MBMD
- NCC
- TLD
STC rgbd benchmark
- GT
- DAL
- our (DAL)
- DiMP
- OTR
- OTR_MVC
- dimp50_stc_rgbd
- dimp50_stc_rgbd(0.63)
- CADMS
- CSR-DCF
- CSR_FCLT
- DSKCF1
- DSKCF2
- ECO
- OAPF
- PT
- STC
- TR_DCF
- TR_DCF_ICP
- TR_DCG_ICP_MV
- TR_DCF_ICP_MV_smart