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Table 2 Qualitative comparison of generative trackers-based human tracking within a camera

From: Human tracking over camera networks: a review

Item no.

Used generative trackers

Speed

Occlusion

Scale change

Shape deformation

1

Active models-based KF (Jang et al. [4])

High

×

2

Structural KF (Jang et al. [5])

Moderate

3

adaptive KF (Weng et al. [6])

High

4

features-based KF (Li et al. [7])

Moderate

5

MCMC-based PF (Chong et al. [8])

Low

6

Swarm intelligence-based PF (Zhang et al. [9])

Moderate

×

7

Occlusion-aware PF (Meshgi et al. [10])

Low

8

interactive PF (Yang et al. [11])

Low

9

Eigenshape-based KT (Liu et al. [12])

High

10

adaptive MKT (Chu et al. [13])

High

11

fragments-based MKT (Fang et al. [14])

High

12

deformable MKT (Hou et al. [15, 16])

Moderate

  1. Symbols √ and× mean that the used generative trackers-based human tracking within a camera can or cannot deal with the situations of occlusion, scale change, and shape deformation