Research Article

Single-Object Tracking Algorithm Based on Two-Step Spatiotemporal Deep Feature Fusion in a Complex Surveillance Scenario

Table 1

Characteristic for partial sequences.

SequencesCharacteristic

Benchmark video 1Similarity background, occlusion, fast motion
Benchmark video 2Similarity background, fast motion, rotation
Benchmark video 3Occlusion, rotation
Benchmark video 4Fast motion, attitude change
Benchmark video 5Fast motion, illumination, similarity background
Benchmark video 6Occlusion, similarity background, blurry
Benchmark video 7Occlusion, scale change, angle of view
Benchmark video 8Occlusion, rotation, illumination