Fig. 1. Flow chart of correlation filter tracking algorithm for multiple features based on temporal consistency and spatial pruning

Fig. 2. Schematic of binary matrix mask

Fig. 3. Comparison of generated masks by proposed algorithm and CSRDCF algorithm. (a) Mask generated by proposed algorithm based on by single frame image in Matrix video; (b) mask generated by CSRDCF algorithm based on by single frame image in Matrix video; (c) single frame image in Matrix video; (d) mask generated by proposed algorithm based on by single frame image in Basketball video; (e) mask generated by CSRDCF algorithm based on by single frame image in Basketball video; (f) single frame image in

Fig. 4. Average AUC and average DP curves of 7 algorithms on OTB-100 dataset. (a) Average AUC; (b) average DP

Fig. 5. Comparison of 9 algorithms on VOT2016 dataset. (a) EAO; (b) AUC

Fig. 6. Comparison of tracking results of 6 algorithms on Bird1 and Lemming. (a) Bird1; (b) Lemming

Fig. 7. Comparisonof tracking results of 6 algorithms on Iron Man and Matrix. (a) Iron Man; (b) Matrix

Table 1. Average AUC results of 6 algorithms in 6 challenges on OTB-100 dataset

Table 2. Average DP results of 6 algorithms in 6 challenges on OTB-100 dataset

Table 3. Tracking results of 9 algorithms on VOT2016 dataset