fix readme and fcos docs (#3144)

README_en.md

@@ -18,6 +18,7 @@ After a long time of industry practice polishing, PaddleDetection has had smooth
 
 <div align="center">
   <img src="static/docs/images/football.gif" width='800'/>
+  <img src="docs/images/mot_pose_demo_640x360.gif" width='800'/>
 </div>
 
 ### Product news
@@ -247,6 +248,13 @@ The relationship between COCO mAP and FPS on Tesla V100 of representative models
   - [SOLOv2](configs/solov2/README.md)
 - Rotation object detection
   - [S2ANet](configs/dota/README.md)
+- [Keypoint detection](configs/keypoint)
+  - HigherHRNet
+  - HRNeet
+- [Multi-Object Tracking](configs/mot/README.md)
+  - [DeepSORT](configs/mot/deepsort/README.md)
+  - [JDE](configs/mot/jde/README.md)
+  - [FairMOT](configs/mot/fairmot/README.md)
 - Vertical field
   - [Face detection](configs/face_detection/README.md)
   - [Pedestrian detection](configs/pedestrian/README.md)

configs/fcos/README.md

@@ -15,6 +15,7 @@ FCOS (Fully Convolutional One-Stage Object Detection) is a fast anchor-free obje
 | ResNet50-FPN    | FCOS           |    2    |   1x      |     ----     |  39.6  | [download](https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_r50_fpn_1x_coco.yml) |
 | ResNet50-FPN    | FCOS+DCN       |    2    |   1x      |     ----     |  44.3  | [download](https://paddledet.bj.bcebos.com/models/fcos_dcn_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_dcn_r50_fpn_1x_coco.yml) |
 | ResNet50-FPN    | FCOS+multiscale_train    |    2    |   2x      |     ----     |  41.8  | [download](https://paddledet.bj.bcebos.com/models/fcos_r50_fpn_multiscale_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/fcos_r50_fpn_multiscale_2x_coco.yml) |
+
 **Notes:**
 
 - FCOS is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)`.