NVDCF Track with multi src

I run deepstream-app with peoplenet in Jetson TX2. Nvdcf run ok with 1 stream, but with 4 streams, fps drop to 10. How can I improve performance in this case?
There is my config file, I’ve not updated track config yet:

[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5

[tiled-display]
enable=1
rows=1
columns=3
width=1280
height=720
gpu-id=0
nvbuf-memory-type=0

[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=3
num-sources=4
uri=rtsp://admin:123456aA@192.168.10.132:554
gpu-id=0

[streammux]
gpu-id=0
batch-size=1
batched-push-timeout=40000

Set muxer output width and height

width=1920
height=1080
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=0

[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File
type=2
sync=0
source-id=0
gpu-id=0

[osd]
enable=1
gpu-id=0
border-width=3
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Arial

[primary-gie]
enable=1
gpu-id=0

Modify as necessary

model-engine-file=…/…/models/tlt_pretrained_models/peoplenet/resnet18_peoplenet_pruned.etlt_b1_gpu0_fp16.engine
batch-size=1
#Required by the app for OSD, not a plugin property
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;0;1;1
bbox-border-color3=0;1;0;1
gie-unique-id=1
config-file=config_infer_primary_peoplenet.txt

[sink1]
enable=0
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
bitrate=2000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
output-file=out.mp4
source-id=0

[sink2]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming 5=Overlay
type=4
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
bitrate=4000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0

set below properties in case of RTSPStreaming

rtsp-port=8554
udp-port=5400

[tracker]
enable=1
tracker-width=640
tracker-height=384
#ll-lib-file=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_mot_iou.so
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_nvdcf.so
#ll-lib-file=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_mot_klt.so
#ll-config-file required for DCF/IOU only
ll-config-file=…/deepstream-app/tracker_config.yml
#ll-config-file=iou_config.txt
gpu-id=0
#enable-batch-process applicable to DCF only
enable-batch-process=1

[tests]
file-loop=0

• Hardware Platform (Jetson / GPU) TX2
• DeepStream Version 5.0
• JetPack Version (valid for Jetson only) 4.4
• TensorRT Version 7.1.0.16
• NVIDIA GPU Driver Version (valid for GPU only)

change batch size to 4 in streammux “batch-size=4”

change batch size to 4 in primary gie “batch-size=4”
also the filename above should be “file=…/…/models/tlt_pretrained_models/peoplenet/resnet18_peoplenet_pruned.etlt_b4_gpu0_fp16.engine”
add a line “interval=2”

this will run inference on every third frame and tracking on all frames these chnages should improve fps