# A New Real-Time Detection and Tracking Method in Videos for Small Target Traffic Signs
## 3 Results
### Effectiveness Analyses
#### 3.2.4 Comparisons of Detection Results with or without Deep-Sort  
As shown in Figure 7, it can obviously be seen the difference in whether or not to add the Deep-Sort MOT algorithm. The figures on the right column (b), (d), and (f) are the detection results of adding Deep-Sort in the video detection process, and the left column (a), (c), and (e) are the video detection result without adding Deep-Sort, respectively intercepted part of the video in the same frame in the two results. In the case of low light, there is missed detection and false detection for the images with a complex background or objects of the same shape and color as the traffic sign. It effectively improves the situation when performing Deep-Sort after video detection.  
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline
**Class** & **io** & **i1** & **i2** & **i3** & **i4** & **i5** & **i10** & **i11** & **i12** & **i13** & **i14** \\ \hline
**Class** & **pl80** & **pl90** & **pl100** & **pl110** & **pl120** & **pm15** & **pm35** & **pm40** & **pm50** & **pm10** & **pm20** \\ \hline Zhu [23] & 87.39 & - & 92.48 & - & 93.92 & - & - & - & - & - & 83.96 \\ Ours1 & 67.79 & 66.67 & 83.51 & 91.67 & 81.90 & 0 & 0 & 0 & 0 & 0 & 56.43 \\ Ours2 & 80.67 & 89.32 & 87.19 & 66.67 & 74.70 & 100.0 & 100.0 & 100.0 & 100.0 & 85.71 & 89.63 \\ \hline
**Class** & **pm30** & **pm55** & **po** & **pn** & **pne** & **pm1** & **pr10** & **pr20** & **pr50** & **pr70** & **pr80** \\ \hline [PERSON] [23] & 87.62 & 79.99 & - & 89.75 & 91.16 & - & - & - & - & - \\ Ours1 & 30.57 & 84.92 & 67.56 & 93.04 & 96.19 & 0 & 0 & 66.67 & 100 & 0 & 0 \\ Ours2 & 92.63 & 95.75 & 88.52 & 95.79 & 95.10 & 0 & 100.0 & 100.0 & 100.0 & 100.0 & 100.0 \\ \hline
**Class** & **pr100** & **pr40** & **pr30** & **pr60** & **ps** & **pw3** & **pw3.2** & **pw3.5** & **pw4** & **pw4.2** & **w3** \\ \[PERSON] [23] & - & 87.16 & - & - & - & - & - & - & - & - & - \\ Ours1 & 0 & 100.0 & 50 & 0 & 12.50 & 0 & 0 & 0 & 0 & 0 & 0 \\ Ours2 & 100.0 & 100.0 & 98.77 & 100.0 & 75.00 & 100.0 & 100.0 & 100.0 & 100.0 & 100.0 & 0 \\ \hline
**Class** & **w5** & **w8** & **w10** & **w12** & **w13** & **w16** & **w18** & **w20** & **w21** & **w22** & **w24** \\ \[PERSON] [23] & - & - & - & - & 77.69 & - & - & - & - & - & - \\ Ours1 & 0 & 0 & 0 & 0 & 0 & 89.14 & 0 & 0 & 0 & 0 & 50 \\ Ours2 & 100.0 & 0 & 100.0 & 100.0 & 100.0 & 97.37 & 100.0 & 100.0 & 100.0 & 100.0 & 90.0 \\ \hline
**Class** & **w26** & **w30** & **w31** & **w32** & **w34** & **w35** & **w37** & **w38** & **w41** & **w42** & **w43** \\ \[PERSON] [23] & - & - & - & 54.56 & - & - & - & - & - & - & - \\ Ours1 & 0 & 0 & 75 & 0 & 50 & 0 & 0 & 0 & 0 & 0 & 0 \\ Ours2 & 100.0 & 100.0 & 95.78 & 100.0 & 96.42 & 100.0 & 0 & 100.0 & 100.0 & 80.0 & 86.92 \\ \hline
**Class** & **w45** & **w46** & **w47** & **w55** & **w57** & **w58** & **w59** & **w63** & **w66** & **-** & - \\ \hline Zhu [23] & - & - & - & - & - & - & - & - & - & - & - \\ Ours1 & 0 & 100.0 & 0 & 0 & 85.19 & 87.54 & 80.0 & 90.38 & 0 & - & - \\ Ours2 & 100.0 & 83.33 & 50.00 & 84.62 & 93.54 & 96.08 & 90.93 & 99.48 & 87.50 & - & - \\ \hline \hline \end{tabular} (Ours1 represents detection of TT100K without enhancement, Ours2 represents detection of enhanced TT100K).  
\end{table}
Table 5: _Cont._