Benchmark for Anonymous Video Analytics - The Benchmark

Access Code

The main results of the benchmark are available in the paper. Here, we additionally show visual and per-video results.

Baseline algorithms

Alias Reference Name Person part Localization Count Age Gender Implementation
Detection Tracking GPU CPU Code
A1 [1] RetinaFace Face ”A1Code”
A2 [2] MTCNN Face ”A2Code”
A3 [3] DeepSORT Person ”A3Code”
A4 [4] TRMOT Person ”A4Code”
A5 [5] FaceLib Face - - ”A5Code”
A6 [6] DEX Face - - ”A6Code”

Systems hardware specifications

System 1 System 2 System 3 System 4
”System1” ”System2” ”System2” ”System4”
CPU Intel i5 AMD R.5 Intel Atom x7 ARM
GPU GTX1660Ti GTX1660Ti Intel Gen9 HD NVIDIA Pascal
Memory [GB] 32 32 8 8
Storage [GB] 512 512 64 32
Consumption [W] 450 450 18 7.5
OpenVINO (CPU) inference
NVIDIA (GPU) inference

Per-video performance scores

We show the per-video results of the (6) baseline algorithms benchmarked in (4) systems for the task of localization, count, and age and gender estimation in this pdfresultsPDF.


Visual results

Visual results for the (4) benchmarked baseline localization/counting algorithms in the (4) benchmarked systems are shown below.

System 1 (GPU)
Sequence Algorithm 1 Algorithm 2 Algorithm 3 Algorithm 4
Airport-1
Airport-2
Airport-3
Airport-4
Mall-1
Mall-2
Mall-3
Mall-4
Pedestrian-1
Pedestrian-2
Pedestrian-3
Pedestrian-4
Pedestrian-5
Subway-1
Subway-2
Subway-3

System 2 (GPU)
Sequence Algorithm 1 Algorithm 2 Algorithm 3 Algorithm 4
Airport-1
Airport-2
Airport-3
Airport-4
Mall-1
Mall-2
Mall-3
Mall-4
Pedestrian-1
Pedestrian-2
Pedestrian-3
Pedestrian-4
Pedestrian-5
Subway-1
Subway-2
Subway-3

System 3 (CPU)
Sequence Algorithm 1 Algorithm 2 Algorithm 3 Algorithm 4
Airport-1
Airport-2
Airport-3
Airport-4
Mall-1
Mall-2
Mall-3
Mall-4
Pedestrian-1
Pedestrian-2
Pedestrian-3
Pedestrian-4
Pedestrian-5
Subway-1
Subway-2
Subway-3

System 4 (GPU)
Sequence Algorithm 1 Algorithm 2 Algorithm 3 Algorithm 4
Airport-1
Airport-2
Airport-3
Airport-4
Mall-1
Mall-2
Mall-3
Mall-4
Pedestrian-1
Pedestrian-2
Pedestrian-3
Pedestrian-4
Pedestrian-5
Subway-1
Subway-2
Subway-3

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